January 2014 - BBClist - maillist.psb.ugent.be

ASSISTANT or ASSOCIATE PROFESSOR OF BIOINFORMATICS FOR MICROBIOLOGY, DELFT UNIVERSITY OF TECHNOLOGY
by Marcel Reinders - EWI 23 Jan '14

23 Jan '14

ASSISTANT or ASSOCIATE PROFESSOR OF BIOINFORMATICS FOR MICROBIOLOGY The Delft University of Technology is seeking a new staff member for its bioinformatics ambitions in microbiology. THE ORGANISATION: DELFT UNIVERSITY OF TECHNOLOGY, ELECTRICAL ENGINEERING, MATHEMATICS AND COMPUTER SCIENCE The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. The faculty offers an interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. EEMCS: Your Connection to the Future. The Department of Intelligent Systems conducts research on processing and interpretation of data to enable man and machine to deal with the increasing volume and complexity of data and communication. We have a strong focus on medical and health sciences. One of our research labs is the Delft Bioinformatics Lab (bioinformatics.tudelft.nl). THE GROUP: THE DELFT BIOINFORMATICS LAB The Delft Bioinformatics Lab performs research and educates students in the fields of bioinformatics for ‘health and disease’ and for ‘microbiology’. We stand out in designing novel data-driven algorithms that are based on the latest developments in the field of Pattern Recognition. We are inspired by a variety of applications but also want to further these scientific application domains with our solutions. Therefore, we actively collaborate with scientists that are at the forefront of their fields and participate in their research questions. THE JOB Within the Delft Bioinformatics Lab, the candidate heads the Bioinformatics for microbiology research theme and educational activities. This theme aims to improve understanding of microorganisms to either increase production yields or to produce new compounds or proteins. At the heart of this research is basic understanding of microorganisms under a variety of growth conditions as well as protein sequence properties that favour secretion. For this, the candidate designs pioneering bioinformatics methodologies emphasising on high-throughput (gen)omic data analysis. Impact in microbiology is realised by intense collaborations with eminent Dutch microbiologists in Delft, Utrecht and Leiden. The candidate expands these collaborations and launches novel research directions that firmly establish a position at the forefront of the international field of computational microbiology. You will: * Provide leadership in bioinformatics for microbiology research. * Act as principal investigator, leading day-to-day research activities. * Contribute to education at the BSc, MSc and PhD levels. * Identify promising avenues with existing partners in microbiology and establish collaborations with internationally leading labs. * Foster creativity and scientific excellence. * Be active in relevant (computer science and biology) communities. CANDIDATE REQUIREMENTS The candidate has a PhD in computer science or a related discipline with a proven track record in bioinformatics. An affinity for pattern recognition and microbiology are considered an advantage. He/she must be able to work effectively in a multidisciplinary team and have the ambition to build partnerships with leading institutions worldwide. The candidate shares our view that communication skills are important, as is the ability to interact with peers, students and technical staff. Teaching experience is important; teaching certificates are considered to be an advantage. CONDITIONS OF EMPLOYMENT TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The position offered is a tenure-track position for a period of five years. Based on performance indicators agreed upon at the start of the appointment, a decision will be made in the final year whether to offer you a permanent faculty position. TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency. Inspiring, excellent education is our central aim. If you have less than five years of experience and have not yet obtained your teaching certificate, we allow you up to three years to complete this. TENURE TRACK A Tenure Track, a process leading up to a permanent appointment with the prospect of becoming an Associate or full Professor, offers young, talented academics a clear and attractive career path. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much support as possible. For more information about the Tenure Track and the personal development programme, please visit www.tudelft.nl/tenuretrack. INFORMATION AND APPLICATION For more information about this position, please contact Prof. M.J.T. Reinders, phone: +31 (0)15-2786424, e-mail: m.j.t.reinders(a)tudelft.nl. To apply, please e-mail a detailed CV, a research and an education statement, at least three references and at most five key publications along with a letter of application by 14 March 2014 to Mrs. C.J.C. Kohlmann-van Noord, Hr-eemcs(a)tudelft.nl. When applying for this position, please refer to vacancy number EWI2014-01.

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A relevant petition
by Vincent Detours 22 Jan '14

22 Jan '14

Hello, Patient privacy is key when it comes to get patient consent for participation in research. Edward Snowden's revelations about mass surveillance may impact trust and affect in the long run our ability to obtain data or work with them. Those of working with patients data, including genomic data, may find this petition relevant: http://www.avaaz.org/en/send_snowden_home_loc/?copy. All the best, Vincent Detours, Ph. D. http://homepages.ulb.ac.be/~vdetours/ IRIBHM Bldg C, room C.4.116 ULB, Campus Erasme, CP602 808 route de Lennik B-1070 Brussels Belgium Phone: +32-2-555 4220 Fax: +32-2-555 4655 Skype: vdetours E-mail: vdetours at ulb.ac.be

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NGS
by Jeanie van Driel - Blom 20 Jan '14

20 Jan '14

Dear reader, We, Avans University of Applied Sciences, Research Group Analysis Techniques in Life Science, organize an international shortcourse on next generation sequencing in Breda from 1 untill 4 April 2014. Aim of the course: DNA sequencing technologies are currently developing at an incredible speed and new applications are presented monthly, incl. DNA/RNA profiling, ChIP-seq, re-sequencing, de novo genome sequencing and metagenomics. The aim of this course is to introduce next generation sequencing technologies, highlight different applications of these new technologies, and show ways to analyse data. Please visit the course website for detailed information: http://www.alsavans.nl/avans-training-2542.htm Looking forward to meeting you in Breda Best regards Jeanie van Driel-Blom Avans university of applied science p.o. box 90116 Disclaimer ( http://www.avans.nl/over-avans/e-mail-disclaimer )

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POST DOCTORAL RESEARCH POSITION in quantitative genetics and machine learning (University of Liège)
by Pierre Geurts 19 Jan '14

19 Jan '14

Job Advertisement: POST DOCTORAL RESEARCH POSITION in quantitative genetics and machine learning We are inviting applications for a POST DOCTORAL RESEARCHER in the Unit of Animal Genomics at the University of Liège in Belgium. The successful candidate will work on a project aimed at using Machine Learning techniques to improve haplotype clustering methods by combining various sources of information (LD, pedigree, next-generation sequencing data, etc). The objective is to improve the definition of haplotypes to allow for more efficient imputation, fine-mapping and genomic selection. The project will also explore how to optimally use these haplotypes in genomic selection by comparing traditional approaches (GBLUP, Bayesian Alphabet) to innovative Machine Learning techniques. The project is a collaboration between the Unit of Animal Genomics and the Systems and modeling unit of the University of Liège. The successful candidate will work under the joint supervision of Dr T. Druet and Prof P. Geurts. The Unit of Animal Genomics, under the supervision of Prof Michel Georges, focuses on the forward genetic dissection of Mendelian and complex traits in domestic animals and humans. One of the key projects of the group is the development of approaches for the utilization of molecular information in livestock breeding, including genomic selection and transgenics. The unit is based in the Interdisciplinary Cluster of Applied Genoproteomics (GIGA-Research) at the University of Liège in Belgium (http://www.giga.ulg.ac.be/jcms/prod_205624/unit-of-animal-genomics) The research unit in Systems and Modeling belongs to the department of Electrical Engineering and Computer Science of ULg (Institut Montefiore). This research unit is composed of about 50 members working in the area of machine learning, statistics, optimization, systems and control, and applications of these methods in various domains such as bioinformatics, networking, and power systems. About 15 members of the unit carry out their research within GIGA-Research, where they are part of the thematic research unit in Systems Biology and Chemical Biology. (http://www.montefiore.ulg.ac.be/systmod/) The main qualifications include: -A PhD degree in quantitative genetics, statistical genomics, machine learning, or related fields, PhD students who will be presenting their thesis in the coming months are also encouraged to apply. -Experience in scientific programming with Fortran, C, Python, or Perl -Experience and strong interest in the field of quantitative genetics and/or machine learning -Be fluent in English (no need to speak French) Funding for a full-time position starts on July 1st and will be for an initial duration of 24 months with the possibility of an extension. Applications should be addressed to both Dr Tom Druet and Prof Pierre Geurts tom.druet(a)ulg.ac.be p.geurts(a)ulg.ac.be

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SLSP 2014: 1st call for papers
by GRLMC 19 Jan '14

19 Jan '14

*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* **************************************************************************** ****** 2nd INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING SLSP 2014 Grenoble, France October 14-16, 2014 Organised by: Équipe GETALP Laboratoire dInformatique de Grenoble Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University http://grammars.grlmc.com/slsp2014/ **************************************************************************** ****** AIMS: SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large, well-known conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between subdomains and people will hopefully happen. In SLSP 2014, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2014 will take place in Grenoble, at the foot of the French Alps. SCOPE: The conference invites submissions discussing the employment of statistical methods (including machine learning) within language and speech processing. The list below is indicative and not exhaustive: phonology, phonetics, prosody, morphology syntax, semantics discourse, dialogue, pragmatics statistical models for natural language processing supervised, unsupervised and semi-supervised machine learning methods applied to natural language, including speech statistical methods, including biologically-inspired methods similarity alignment language resources part-of-speech tagging parsing semantic role labelling natural language generation anaphora and coreference resolution speech recognition speaker identification/verification speech transcription speech synthesis machine translation translation technology text summarisation information retrieval text categorisation information extraction term extraction spelling correction text and web mining opinion mining and sentiment analysis spoken dialogue systems author identification, plagiarism and spam filtering STRUCTURE: SLSP 2014 will consist of: invited talks invited tutorials peer-reviewed contributions INVITED SPEAKERS: to be announced PROGRAMME COMMITTEE: Sophia Ananiadou (Manchester, UK) Srinivas Bangalore (Florham Park, US) Patrick Blackburn (Roskilde, DK) Hervé Bourlard (Martigny, CH) Bill Byrne (Cambridge, UK) Nick Campbell (Dublin, IE) David Chiang (Marina del Rey, US) Kenneth W. Church (Yorktown Heights, US) Walter Daelemans (Antwerpen, BE) Thierry Dutoit (Mons, BE) Alexander Gelbukh (Mexico City, MX) Ralph Grishman (New York, US) Sanda Harabagiu (Dallas, US) Xiaodong He (Redmond, US) Hynek Hermansky (Baltimore, US) Hitoshi Isahara (Toyohashi, JP) Lori Lamel (Orsay, FR) Gary Geunbae Lee (Pohang, KR) Haizhou Li (Singapore, SG) Daniel Marcu (Los Angeles, US) Carlos Martín-Vide (Tarragona, ES, chair) Manuel Montes-y-Gómez (Puebla, MX) Satoshi Nakamura (Nara, JP) Shrikanth S. Narayanan (Los Angeles, US) Vincent Ng (Dallas, US) Joakim Nivre (Uppsala, SE) Elmar Nöth (Erlangen, DE) Maurizio Omologo (Trento, IT) Barbara H. Partee (Amherst, US) Gerald Penn (Toronto, CA) Massimo Poesio (Colchester, UK) James Pustejovsky (Waltham, US) Gaël Richard (Paris, FR) German Rigau (San Sebastián, ES) Paolo Rosso (Valencia, ES) Yoshinori Sagisaka (Tokyo, JP) Björn W. Schuller (London, UK) Satoshi Sekine (New York, US) Richard Sproat (New York, US) Mark Steedman (Edinburgh, UK) Jian Su (Singapore, SG) Marc Swerts (Tilburg, NL) Jun'ichi Tsujii (Beijing, CN) Renata Vieira (Porto Alegre, BR) Dekai Wu (Hong Kong, HK) Feiyu Xu (Berlin, DE) Roman Yangarber (Helsinki, FI) Geoffrey Zweig (Redmond, US) ORGANISING COMMITTEE: Laurent Besacier (Grenoble, co-chair) Adrian Horia Dediu (Tarragona) Benjamin Lecouteux (Grenoble) Carlos Martín-Vide (Tarragona, co-chair) Florentina Lilica Voicu (Tarragona) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (including eventual appendices) and should be prepared according to the standard format for Springer Verlag's LNAI/LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) Submissions have to be uploaded to: https://www.easychair.org/conferences/?conf=slsp2014 PUBLICATIONS: A volume of proceedings published by Springer in the LNAI/LNCS series will be available by the time of the conference. A special issue of a major journal will be later published containing peer-reviewed extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The period for registration is open from January 16, 2014 to October 14, 2014. The registration form can be found at: http://grammars.grlmc.com/slsp2014/Registration.php DEADLINES: Paper submission: May 7, 2014 (23:59h, CET) Notification of paper acceptance or rejection: June 18, 2014 Final version of the paper for the LNAI/LNCS proceedings: June 25, 2014 Early registration: July 2, 2014 Late registration: September 30, 2014 Submission to the post-conference journal special issue: January 16, 2015 QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu(a)urv.cat POSTAL ADDRESS: SLSP 2014 Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University Av. Catalunya, 35 43002 Tarragona, Spain Phone: +34 977 559 543 Fax: +34 977 558 386 ACKNOWLEDGEMENTS: Departament dEconomia i Coneixement, Generalitat de Catalunya Laboratoire dInformatique de Grenoble Universitat Rovira i Virgili

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Postdoc position in bioinformatics/machine learning, ULB, Brussels
by Bontempi Gianluca 17 Jan '14

17 Jan '14

Dear colleague could you please forward this announcement to all interested persons, please? https://www.researchgate.net/job/725615_Postdoc_in_ULB_Brussels-Bioinformat… Thanks a lot Best -- Pr. Gianluca Bontempi co-Head of the Machine Learning Group Département d'Informatique Université Libre de Bruxelles Boulevard du Triomphe - CP212 1050 Bruxelles, Belgium email: gbonte(a)ulb.ac.be Office Phone: +32-2-650 55 91 Fax: +32 2 650.56.09 mlg.ulb.ac.be Director Interuniversity Institute of Bioinformatics in Brussels (IB)² ibsquare.be

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Job: Bioinformatician at SkylineDx (MSc/PhD)
by Martin van Vliet 16 Jan '14

16 Jan '14

Dear Colleagues, We currently have a job opening for a Bioinformatician (MSc/PhD), see details below. Please also forward to any potentially interested candidates you might know. Thanks, Martin van Vliet Job: Bioinformatician at SkylineDx (MSc/PhD) Company description SkylineDx is a pioneer in the field of molecular diagnostics through developing and commercializing array-based diagnostic tests using gene signatures for personalized medicine in oncology that help to provide physicians and patients with the best individual care possible. At SkylineDx we transform life sciences into the daily practice of clinical diagnostics. SkylineDx has a dedicated team with unique expertise and the technology needed for a highly efficient identification of novel relevant biomarkers, development, registration and commercialization of (companion) diagnostics. Our mission is to improve therapeutic treatment selection through the development of reliable, clinically validated molecular diagnostic tests for blood cancers and thereby improving the quality of life of blood cancer patients. As an innovative company, SkylineDx is continuously seeking for ambitious colleagues with an academic and/or industrial background that are passionate about our mission. Job Description The Bioinformatician will perform research, feasibility and development work for molecular diagnostic assays, including microarrays and sequencing with the goal of improving existing and building new assays. Key domains for this Bioinformatician are collaborations with academic partners (Erasmus MC and several international groups) and SkylineDx's development team to evaluate and ensure the implementation and validation of clinically relevant scientific discoveries into reliable medical diagnostic assays for diagnosis, prognosis and drug effectiveness prediction that will ultimately contribute to improved patient care. The candidate will collaborate in a multidisciplinary team with biologists, medical doctors, bioinformaticians, statisticians, laboratory technicians, study directors, software development engineers and our QA and regulatory department. The candidate will substantially contribute to preparation of the assay registration files as well as scientific publications and presentations of the research and development of our diagnostic assays. Profile The candidate should have an MSc or PhD degree in Bioinformatics with relevant experience in oncology and genomics. A track record in machine learning combined with programming skills (e.g., R, Matlab, Perl, C++), and a fundamental knowledge of statistics is required. Proven, adequate publication skills are an important asset. A keen interest in new developments and experience in high throughput assay design and analysis is a pre. The candidate shall have good communication and organization skills, and a service and result-oriented attitude. We offer SkylineDx offers you to become part of our challenge to translate state-of-the-art scientific achievements into diagnostic products that will contribute to improve patient care. We are a young and dynamic company offering excellent opportunities for personal growth and development. Skyline is well embedded in the infrastructure of the Hematology and Bioinformatics Departments of the Erasmus MC in Rotterdam, the Netherlands. Therefore, we believe the company can offer you the best of both worlds; a career in life sciences with emphasis on product development and clinical diagnostics in close collaboration with an academic environment. We offer a full-time position with an attractive salary, 25 holidays and travelling expenses compensation. Contact For information you can contact Erik van Beers, VP Science and Technology Phone: +31 (0)6-18428802 Mail your application to: e.vanbeers(a)skylinedx.com<mailto:e.vanbeers@skylinedx.com> Closing date: February 10, 2014 Martin van Vliet, MSc, PhD Senior Bioinformatician [SkylineDX_logo_.XXXsmall] SkylineDx BV Rotterdam Science Tower Marconistraat 16 3029 AK Rotterdam The Netherlands Phone: +31 (0)10 70 43431 Web: www.skylinedx.com<http://www.skyline-diagnostics.com/> Follow us: [twitter]<http://twitter.com/skylinedx> [linkedIn] <http://www.linkedin.com/company/222765>

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Vacancy, Network Biologist with a keen interest in Integrative Bioinformatics (post doctoral), Utrecht University, Netherlands
by Breukelen, B. van (Bas) 13 Jan '14

13 Jan '14

Network Biologists with a keen interest in Integrative Bioinformatics (post doctoral) The Biomolecular Mass Spectrometry and Proteomics Group (Heck-group, www.hecklab.com<http://www.hecklab.com>) at Utrecht University (www.uu.nl<http://www.uu.nl>) the Netherlands is looking for a Network Biologists with a keen interest in Integrative Bioinformatics This person will be able to use and develop tools to analyze, integrate and visualize data obtained primarily by mass spectrometry based proteomics but with the aim to perform integrative analysis using data obtained by siRNA screens, NGS, metabolomics and other post-genome technologies. The projects will primarily be related to stem cell and cancer related research, with a special attention to focus on perturbation in network biology induced by gene mutations and small molecule drugs. We expect the candidate to be experienced in relevant bioinformatics tools such as Cytoscape, PathVisio (or other pathway analysis tools) and [R]. Also a strong background in bio-statistics and programming (e.g. in Java, Perl, Python) is an advantage. Ideally also experience with MS-based proteomics data is available. These capabilities should all be clear from your CV, your PhD research and publication list. The person hired will be deeply involved in the programs of the Netherlands Roadmap program “Proteins@Work” (www.proteinsatwork.nl<http://www.proteinsatwork.nl>) and the Gravity Program “CGC.NL” (www.cancergenomics.nl<http://www.cancergenomics.nl>), and be imbedded within the core proteomics facility in Utrecht (www.netherlandsproteomicscentre.nl<http://www.netherlandsproteomicscentre.nl>). We will be able to offer a three years position at a post-doctoral level, being appointed at Utrecht University, Science Faculty. For information please contact prof. dr. Albert J.R. Heck (cgc.nl.networkbiologist(a)gmail.com<mailto:cgc.nl.networkbiologist@gmail.com>) In your application include a CV, two letters of recommendation and a motivation. You can apply on our website by following this link: http://bioms.chem.uu.nl/jobs/network-biologists-with-a-keen-interest-in-int… Deadline for applications is January 31st 2014. Related references Next-generation proteomics: towards an integrative view of proteome dynamics.<http://www.ncbi.nlm.nih.gov/pubmed/23207911>Altelaar AF, Munoz J, Heck AJR. Nat Rev Genet. 14 (2013) 35-48. doi: 10.1038/nrg3356. The Lgr5 intestinal stem cell signature: robust expression of proposed quiescent '+4' cell markers.<http://www.ncbi.nlm.nih.gov/pubmed/22692129> Muñoz J, et al. Embo J. 31 (2012):3079-3091. doi: 10.1038/emboj.2012.166. The quantitative proteomes of human-induced pluripotent stem cells and embryonic stem cells.<http://www.ncbi.nlm.nih.gov/pubmed/22108792> Muñoz J, Low TY, Kok YJ, Chin A, Frese CK, Ding V, Choo A, Heck AJR. Mol Syst Biol. 7 (2011) 550. doi: 10.1038/msb.2011.84. Interrogating cAMP-dependent Kinase Signaling in Jurkat T Cells via a Protein Kinase A Targeted Immune-precipitation Phosphoproteomics Approach. Giansanti P. et al. Mol Cell Proteomics. 12 (2013) 3350-9. Quantitative and Qualitative Proteome Characteristics Extracted from In-Depth Integrated Genomics and Proteomics Analysis. Low TY et. al. Cell Reports 2013. doi: S2211-1247(13)00640-2. 10.1016/j.celrep.2013.10.04 =========================== Dr Ir. Bas van Breukelen Assistant Professor Biomolecular Mass Spectrometry and Proteomics Group Utrecht University Padualaan 8, 3584 CH, Utrecht The Netherlands ----------------------------------------------- E: b.vanbreukelen(a)uu.nl<mailto:b.vanbreukelen@uu.nl> T: +31(0)30 2539761 M:+31(0)6 42222520 Skype: b.vanbreukelen W: http://www.hecklab.com ===========================

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SSTiC 2014: January 18, 2nd registration deadline
by GRLMC 11 Jan '14

11 Jan '14

*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************* 2014 TARRAGONA INTERNATIONAL SUMMER SCHOOL ON TRENDS IN COMPUTING SSTiC 2014 Tarragona, Spain July 7-11, 2014 Organized by Rovira i Virgili University http://grammars.grlmc.com/sstic2014/ ********************************************************************* --- January 18, 2nd registration deadline --- ********************************************************************* AIM: SSTiC 2014 is the second edition in a series started in 2013. For the previous event, see http://grammars.grlmc.com/SSTiC2013/ SSTiC 2014 will be a research training event mainly addressed to PhD students and PhD holders in the first steps of their academic career. It intends to update them about the most recent developments in the diverse branches of computer science and its neighbouring areas. To that purpose, renowned scholars will lecture and will be available for interaction with the audience. SSTiC 2014 will cover the whole spectrum of computer science through 5 keynote lectures and 24 six-hour courses dealing with some of the most lively topics in the field. The organizers share the idea that outstanding speakers will really attract the brightest students. ADDRESSED TO: Graduate students from around the world. There are no formal pre-requisites in terms of the academic degree the attendee must hold. However, since there will be several levels among the courses, reference may be made to specific knowledge background in the description of some of them. SSTiC 2014 is also appropriate for more senior people who want to keep themselves updated on developments in their own field or in other branches of computer science. They will surely find it fruitful to listen and discuss with scholars who are main references in computing nowadays. REGIME: In addition to keynotes, 3 parallel sessions will be held during the whole event. Participants will be able to freely choose the courses they will be willing to attend as well as to move from one to another. VENUE: SSTiC 2014 will take place in Tarragona, located 90 kms. to the south of Barcelona. The venue will be: Campus Catalunya Universitat Rovira i Virgili Av. Catalunya, 35 43002 Tarragona KEYNOTE SPEAKERS: Larry S. Davis (U Maryland, College Park), A Historical Perspective of Computer Vision Models for Object Recognition and Scene Analysis David S. Johnson (Columbia U, New York), Open and Closed Problems in NP-Completeness George Karypis (U Minnesota, Twin Cities), Recommender Systems Past, Present, & Future Steffen Staab (U Koblenz), Explicit and Implicit Semantics: Two Sides of One Coin Ronald R. Yager (Iona C, New Rochelle), Social Modeling COURSES AND PROFESSORS: Divyakant Agrawal (U California, Santa Barbara), [intermediate] Scalable Data Management in Enterprise and Cloud Computing Infrastructures Pierre Baldi (U California, Irvine), [intermediate] Big Data Informatics Challenges and Opportunities in the Life Sciences Stephen Brewster (U Glasgow), [introductory] Multimodal Human-computer Interaction Rajkumar Buyya (U Melbourne), [intermediate] Cloud Computing John M. Carroll (Pennsylvania State U, University Park), [introductory] Usability Engineering and Scenario-based Design Kwang-Ting (Tim) Cheng (U California, Santa Barbara), [introductory/intermediate] Smartphones: Hardware Platform, Software Development, and Emerging Apps Amr El Abbadi (U California, Santa Barbara), [introductory] The Distributed Foundations of Data Management in the Cloud Richard M. Fujimoto (Georgia Tech, Atlanta), [introductory] Parallel and Distributed Simulation Mark Guzdial (Georgia Tech, Atlanta), [introductory] Computing Education Research: What We Know about Learning and Teaching Computer Science David S. Johnson (Columbia U, New York), [introductory] The Traveling Salesman Problem in Theory and Practice George Karypis (U Minnesota, Twin Cities), [intermediate] Programming Models/Frameworks for Parallel & Distributed Computing Aggelos K. Katsaggelos (Northwestern U, Evanston), [intermediate] Optimization Techniques for Sparse/Low-rank Recovery Problems in Image Processing and Machine Learning Arie E. Kaufman (U Stony Brook), [advanced] Visualization Carl Lagoze (U Michigan, Ann Arbor), [introductory] Curation of Big Data Bijan Parsia (U Manchester), [introductory] The Empirical Mindset in Computer Science Charles E. Perkins (FutureWei Technologies, Santa Clara), [intermediate] Beyond LTE: the Evolution of 4G Networks and the Need for Higher Performance Handover System Designs Sudhakar M. Reddy (U Iowa, Iowa City), [introductory] Test and Design for Test of Digital Logic Circuits Robert Sargent (Syracuse U), [introductory] Validation of Models Mubarak Shah (U Central Florida, Orlando), [intermediate] Visual Crowd Analysis Steffen Staab (U Koblenz), [intermediate] Programming the Semantic Web Mike Thelwall (U Wolverhampton), [introductory] Sentiment Strength Detection for Twitter and the Social Web Jeffrey D. Ullman (Stanford U), [introductory] MapReduce Algorithms Nitin Vaidya (U Illinois, Urbana-Champaign), [introductory/intermediate] Distributed Consensus: Theory and Applications Philip Wadler (U Edinburgh), [intermediate] Topics in Lambda Calculus and Life ORGANIZING COMMITTEE: Adrian Horia Dediu (Tarragona) Carlos Martín-Vide (Tarragona, chair) Florentina Lilica Voicu (Tarragona) REGISTRATION: It has to be done at http://grammars.grlmc.com/sstic2014/registration.php The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed when the capacity of the venue will be complete. It is very convenient to register prior to the event. FEES: As far as possible, participants are expected to attend for the whole (or most of the) week (full-time). Fees are a flat rate allowing one to participate to all courses. They vary depending on the registration deadline. ACCOMMODATION: Information about accommodation will be available on the website of the School in due time. CERTIFICATE: Participants will be delivered a certificate of attendance. QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu(a)urv.cat POSTAL ADDRESS: SSTiC 2014 Lilica Voicu Rovira i Virgili University Av. Catalunya, 35 43002 Tarragona, Spain Phone: +34 977 559 543 Fax: +34 977 558 386 ACKNOWLEDGEMENTS: Departament dEconomia i Coneixement, Generalitat de Catalunya Universitat Rovira i Virgili

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Open position: (Associate) Scientist Biostatistics and Screening
by Roubos, Hans 09 Jan '14

09 Jan '14

(Associate) Scientist Biostatistics and Screening http://www.dsm.com/corporate/careers/vacancies/dsmvacancies.html Research & Development | Netherlands, Delft Job ID: NUTR00677 | Close date: 2014-01-17 About DSM DSM – Bright Science. Brighter Living. Royal DSM N.V. is a global science-based company active in health, nutrition and materials. By connecting its unique competences in Life Sciences and Materials Sciences DSM is driving economic prosperity, environmental progress and social advances to create sustainable value for all stakeholders. DSM delivers innovative solutions that nourish, protect and improve performance in global markets such as food and dietary supplements, personal care, feed, pharmaceuticals, medical devices, automotive, paints, electrical and electronics, life protection, alternative energy and bio-based materials. DSM’s 23,500 employees deliver annual net sales of about € 9 billion. The company is listed on NYSE Euronext. More information can be found at www.dsm.com<http://www.dsm.com/>. DSM Biotechnology Center (DBC) is the primary location for biotechnological Research and Development and is responsible for the realization of biotechnological innovations and the developments of new products and cost effective production processes. In order to be a truly globally recognized Biotech competence leader, DBC successfully strives to be optimally connected to both DSM and external science networks, supporting and co-creating DSM Bright Science image and DSM’s agenda for a sustainable world. DBC uses bright science to create better living through the development of new and improved products for DSM. The Genetics Department is part of the DBC and serves the different businesses by delivering new and improved strains for the production of biocatalysts and bioproducts by means of classical and GMO strain development and (HT) screening technology. The Position Within the Genetics Department of the DBC there is a vacancy for the position of: (Associate) Scientist Biostatistics and Screening The Challenge The (Associate) Scientist Biostatistics and Screening has a key role within the DSM Biotechnology Center, responsible for supporting microbial and enzyme screening projects to generate industrial bio-products with applications in food, feed, bio-based chemicals and biofuels. From your home base in the bioinformatics & biostatistics cluster you will participate in multi-disciplinary project teams in which you will be the data processing expert. Your challenge will be to develop, implement and apply statistical tools and workflows for processing of high throughput screening data. The Ideal You are a MSc or PhD in the area of biostatistics, bioinformatics and/or ICT. Preferably you have 3-5 years of experience in statistical data processing of biological data from high throughput screening campaigns and/or analytical lab data like LC-MSMS and NMR. Experience in an automated lab environment and handling large data sets in a biotech or pharma environment is an advantage. You are able to translate a biological question into an experimental design and statistical approach. You are a multidisciplinary team player, who takes initiative. Personal skills like problem analysis, creativity and being a good communicator characterize your identity. The Procedure and Contact LOCAL CONTRACT DSM's wide diversity of disciplines makes it possible to offer employees a great variety of roles throughout their career. For instance, you may start your career in an area related to your education/qualifications, but your future is what you make of it. At DSM we stimulate people to determine their own career path and we encourage international careers. We strive to be an Employer of Choice and ensure that our employees are nurtured and given the opportunity to develop their talents. To learn more about DSM's HR vision and policy, please visit our website atwww.dsm.com/careers<http://www.dsm.com/careers>. The DSM Recruitment and Selection Process is in line with the general procedure outlined on our website: www.dsm.com/career<http://www.dsm.com/career>. Please apply on-line and send your CV & cover letter in English and include information on your current remuneration. Please submit application before deadline: 17th of January 2014. Reference check procedures are part of the DSM Recruitment & Selection Process. You will be contacted when these references checks are required. ________________________________ DISCLAIMER: This e-mail is for the intended recipient only. If you have received it by mistake please let us know by reply and then delete it from your system; access, disclosure, copying, distribution or reliance on any of it by anyone else is prohibited. If you as intended recipient have received this e-mail incorrectly, please notify the sender (via e-mail) immediately.

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