- BBClist - maillist.psb.ugent.be

BioSB course Protein Structures: production, prowess, power, promises, and problems
by Celia.vanGelder＠radboudumc.nl 13 Oct '15

13 Oct '15

BioSB course Protein Structures: production, prowess, power, promises, and problems (3rd edition) Date: 9-13 Nov 2015 Course coordinator: Gert Vriend Location: Center for Molecular and Biomolecular Informatics (CMBI), Radboudumc, Nijmegen, the Netherlands Website: http://biosb.nl/education/course-portfolio/protein-structures-production-pr… Registration: http://biosb.nl/education/course-portfolio/protein-structures-production-pr…. Please note that this course is free of charge for PhDs who are or will become a member of the BioSB research school, and with a reduced fee for other researchers who are or will become a member of BioSB. More information about the BioSB membership can be found here: http://biosb.nl/about/members/biosb-membership-information/ . Target audience The course is suitable for both PhD students working in structural bioinformatics as well as for PhD students in the life sciences who want to learn more about using structural informatioin in their research. The course schedule accommodates both groups, parallel sessions for both groups will be scheduled when necessary. Course Description In the right hands, protein structures are a 'power'ful tool to answer bio-molecular questions. Knowledge of the structure is a pre-requisite for rational drug design, for biotechnology, for chemical biology, and for answering a whole series of biomedical questions. In this course we will discuss the 'production' of protein structures by NMR, X-ray, and homology modelling. These methods all have their pro's and cons so a certain 'prowess' is needed to follow all 'promises' and start attacking bio-medical 'problems' using protein structures. The course will be split in three parts. Part 1) Looking and seeing things in protein structures, learning to operate the software, understanding some of the algorithms. Part 2) Protein structure determination (prediction) with NMR, X-ray, and homology modelling, and the possibilities and problems that come with each of these three techniques. Part 3) Applying all that was learned in real-life example studies. Course topics Day 1: Homology modelling Day 2: Protein structure comparison Day 3: Electrostatics and molecular dynamics Day 4: Protein structure determination and validation Day 5: Own project executed with help from CMBI staff. Examples of questions you will be able to answer after following the course: * Why is a person with this mutation sick? Or in other words, how does the molecular phenotype cause a disease state? * This enzyme converts mannose. Can I make is specificity broader? * This enzyme doesn't function in my in vitro assay. Should I add some ions? * I want to add a tag to my enzyme, should I put it on the N-terminus, the C-terminus, or is something different needed? * This receptor binds a ligand, but if I look at the structure, that ligand doesn't fit at all. Can I predict motions that take place upon ligand binding? BioSB Education Programme This course is part of the Education Programme of BioSB, the Netherlands Bioinformatics and Systems Biology research school, which offers training and education for in bioinformatics and systems biology. More information about BioSB can be found at www.biosb.nl<http://www.biosb.nl/>. Dr. Celia W.G. van Gelder Education Manager BioSB Coordinator Education CMBI Programme Manager Learning DTL/ELIXIR-NL tel. +31613375327 e-mail: Celia.vanGelder(a)radboudumc.nl<mailto:Celia.vanGelder@radboudumc.nl> websites: www.nbic.nl<http://www.nbic.nl/>, www.biosb.nl, www.cmbi.ru.nl<http://www.cmbi.ru.nl/>, www.dtls.nl Postal address: CMBI 260 Radboud University Nijmegen-Medical Centre PO Box 9101 6500 HB Nijmegen The Netherlands Het Radboudumc staat geregistreerd bij de Kamer van Koophandel in het handelsregister onder nummer 41055629. The Radboud university medical center is listed in the Commercial Register of the Chamber of Commerce under file number 41055629.

1 0

[Gtpb] CSDM15 - Chromosome Structure Determination using Modelling and Hi-C Data - Announcement / Reminder
by Pedro Fernandes 12 Oct '15

12 Oct '15

CSDM15 Chromosome Structure Determination using Modelling and Hi-C Data IMPORTANT DATES for this Course Deadline for applications: November 15th 2015 Notification of acceptance within 72 hours of application (working days count) Course date: November 24th to November 27th 2015 http://gtpb.igc.gulbenkian.pt/bicourses/CSDM15 Course description The sequence of a genome alone does not carry enough information to fully understand how genomic processes are carried out in the cell nucleus; to achieve this, the knowledge of the three-dimensional (3D) architecture of a genome is necessary. Advances in genomic technologies and the development of new analytical methods, such as 3C-based methods, have allowed getting insights at unprecedented resolution into how the genome is organized. Recently, it has been shown that chromatin is organized in Topologically Associating Domains (TADs), large interaction domains that appear to be conserved among different cell types. In this course, participants will learn to use TADbit, a software for the analysis and modeling of Hi-C data. The course will cover all the aspect of modeling with Hi-C data: Generation of Hi-C contact matrices from raw data (that is, Hi-C specific quality check of the reads, mapping, filtering and normalization) Analysis of Hi-C matrices (Hi-C map visualization, TAD identification, experiment comparison, and TAD selection) 3D modeling and analysis of TADs The 3D module of TADbit is based on a computational module of the Integrative Modeling Platform (IMP, http://www.integrativemodeling.org) that uses chromosome conformation capture data to determine the 3D architecture of genomic domains and entire genomes at unprecedented resolutions. Participants can bring-in specific biological questions and/or their on data to work on during the course. At the end of the course, participants will be familiar with the TADbit software, enabling them to fully analyze and model Hi-C data. Target Audience The course is oriented to experimental researchers and bioinformaticians at the graduate and post-graduate levels. The last edition of this course was attended by people with different backgrounds and interested in the genome organization. Moreover, Hi-C data have recently been used in metagenomics studies to accurately cluster metagenome assembly contigs into groups that contain nearly complete genomes of each species. It is likely that the participants to this course aim at getting involved in generating Hi-C data for chromosome structure determination or that they just want to be able to correctly interpret and analyze publicly available data. CSDM15 Course duration: 4 days CSDM15 Course Fee: Euro 360.00 Thank you for your interest P.Fernandes -- Pedro Fernandes Bioinformatics Training Coordinator Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt _______________________________________________ GTPB mailing list GTPB(a)igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb

1 0

BigDat 2016: early registration deadline 19 October
by GRLMC 09 Oct '15

09 Oct '15

*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** 2ND INTERNATIONAL WINTER SCHOOL ON BIG DATA BIGDAT 2016 BILBAO, SPAIN FEBRUARY 8-12, 2016 Organized by: DeustoTech, University of Deusto Rovira i VirgiliUniversity http://grammars.grlmc.com/bigdat2016/ ******************************************************** --- Early registration deadline: October 19, 2015 --- ******************************************************** AIM: BigDat 2016 will be a research training event addressed to graduates and postgraduates in the first steps of their academic career. With a global scope, it aims at updating them about the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely: foundations, infrastructure, management, search and mining, security and privacy, and applications. Main challenges of analytics, management and storage of big data will be identified through 4 keynote lectures, 20 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. ADDRESSED TO: Graduates and postgraduates from around the world. There are no formal pre-requisites in terms of academic degrees. However, since there will be differences in the course levels, specific knowledge background may be assumed for some of them. BigDat 2016 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. REGIME: In addition to keynotes, 2-3 courses will run in parallel 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: BigDat 2016 will take place in Bilbao, the capital of the Basque Country region, famous for its gastronomy and the seat of the GuggenheimMuseum. The venue will be: DeustoTech, School of Engineering University of Deusto Avda. Universidades, 24 48014 Bilbao KEYNOTE SPEAKERS: Nektarios Benekos (European Organization for Nuclear Research), Role of Computing and Software in Particle Physics Chih-Jen Lin (NationalTaiwanUniversity), When and When Not to Use Distributed Machine Learning Jeffrey Ullman (StanfordUniversity), Theory of MapReduce Algorithms Alexandre Vaniachine (Argonne National Laboratory), Big Data Technologies and Data Science Methods in the Higgs Boson Discovery PROFESSORS AND COURSES: Nektarios Benekos (European Organization for Nuclear Research), [introductory/intermediate] Exploring the Mysteries of our Cosmos: the Big Deal between Big Data and Big Science Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data Analytics Edward Y. Chang (HTC Health, Taipei), [introductory/intermediate] Big Data Analytics for Healthcare: Scalable Algorithms and Applications Nello Cristianini (University of Bristol), [introductory] THINKBIG: Towards Large Scale Computational Social Sciences, History and Digital Humanities Ernesto Damiani (University of Milan), [introductory/intermediate] Architectures, Models and Tools for Big-Data-as-a-Service Francisco Herrera (University of Granada), [introductory] Big Data Preprocessing George Karypis (University of Minnesota), [intermediate/advanced] Scaling Up Recommender Systems Chih-Jen Lin (NationalTaiwanUniversity), [introductory/intermediate] Large-scale Linear Classification Geoff McLachlan (University of Queensland), [intermediate/advanced] Big Data Extensions of Some Methods of Classification and Clustering Wladek Minor (University of Virginia), [introductory/intermediate] Big Data and Structural Biology and Chemistry Raymond Ng (University of British Columbia), [introductory/intermediate] Mining and Summarizing Text Conversations Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machine Intelligence and Granular Mining: Relevance to Big Data Erhard Rahm (University of Leipzig), [introductory/intermediate] Scalable and Privacy-preserving Data Integration Hanan Samet (University of Maryland), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial Databases, Geographic Information Systems (GIS), and Location-based Services Jaideep Srivastava (Qatar Computing Research Institute), [tba] Big Data Enabled Computational Social Science Jeffrey Ullman (StanfordUniversity), [introductory] Big Data Algorithms that Aren't Machine Learning Alexandre Vaniachine (Argonne National Laboratory), [introductory/advanced] Big Data: Comparison with Computational Models Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Big Data Analytics for Social Networks Fuli Yu (Baylor College of Medicine), [introductory/intermediate] Overview of Large-scale Genomics and Variant Analysis Mohammed J. Zaki (Rensselaer Polytechnic Institute), [introductory/advanced] Large Scale Graph Analytics and Mining OPEN SESSION An open session will collect 5-minute presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to adrian.dediu (at) urv.cat by February 5, 2016. ORGANIZING COMMITTEE: Adrian Horia Dediu Carlos Martín-Vide (co-chair) Iker Pastor López (co-chair) Borja Sanz (co-chair) Florentina Lilica Voicu REGISTRATION: It has to be done at http://grammars.grlmc.com/bigdat2016/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 and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event. FEES: Participants are expected to attend full-time. Fees are a flat rate allowing the attendance to all courses during the week. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions of accommodation are available on the webpage. CERTIFICATE: Participants will be delivered a certificate of attendance. QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu (at) urv.cat ACKNOWLEDGEMENTS: University of Deusto Rovira i VirgiliUniversity

1 0

Benelux Bioinformatics Conference 2015: call for late posters abstracts
by Laukens Kris 09 Oct '15

09 Oct '15

- Benelux Bioinformatics Conference 2015 - late poster abstracts - The University of Antwerp is proud to welcome you the Benelux Bioinformatics Conference 2015 (BBC 2015). The BBC 2015 will take place at Elzenveld in the heart of Antwerp, on 7-8 December 2015. Abstract submission for oral presentations is now closed. We do however accept late poster abstracts. Practical information: Late poster abstract submissions follow a distinct procedure. To submit a late poster abstract, proceed to the submissions page and follow the instructions: http://bbc2015.be/submission.html Deadline: Late abstracts can still be submitted until 30 November 2015, and will undergo an expedited review process. Submitting an abstract for consideration as an oral presentation is no longer possible. Gold sponsors: [cid:39348392-FFB5-410B-BD43-AC02AE426152@ua.ac.be][cid:A7C6CF3A-9AE4-4B83-A478-767908F6EA32@ua.ac.be]

1 0

Benelux Bioinformatics Conference 2015: student fellowships
by Laukens Kris 09 Oct '15

09 Oct '15

- Benelux Bioinformatics Conference 2015 - Student fellowships - The University of Antwerp is proud to welcome you the Benelux Bioinformatics Conference 2015 (BBC 2015). The BBC 2015 will take place at Elzenveld in the heart of Antwerp, on 7-8 December 2015. To stimulate the participation of young scientists, we are pleased to announce the availability of 10 student fellowships. What is a student fellowship? A fellowship covers the registration fee for full participation to the Benelux Bioinformatics Conference, including lectures, poster sessions, lunch and coffee breaks. Note that a fellowship does NOT cover the conference dinner on Monday evening, but fellowship recipients are allowed to join the dinner at the normal rate (€ 50). Fellowships also do not cover accommodation, travel, or other costs. Who can get a fellowship? The fellowships will be preferentially awarded to students with: • a particular interest in bioinformatics; • active involvement in bioinformatics work (internship, bachelor or master thesis, …); • NO formal scientific employment (in the form of a salary or grant). Active participation with a scientific poster is strongly encouraged. Check the late poster abstract submission information on the conference website: http://bbc2015.be/submission.html How can I apply for a fellowship? Send an e-mail with a short CV (studies, grades, internships, employment), contact details, and a motivation that convincingly shows that you deserve to be awarded this fellowship to info(a)bbc2015.be<mailto:info@bbc2015.be> with the following subject line: “BBC2015 student fellowship application: first name family name”. Deadline for applications is November 10. The organising committee is responsible for the selection. Candidates will be informed about their application by the end of November. No further discussion will be held with regards to the result. Note that we will follow a strict attendance policy. Fellowship recipients who are unable to attend, are expected to inform us 7 days in advance. Without notification, fellowship recipients who do not show up at the conference notice will be charged the registration fee. Gold sponsors [cid:39348392-FFB5-410B-BD43-AC02AE426152@ua.ac.be][cid:A7C6CF3A-9AE4-4B83-A478-767908F6EA32@ua.ac.be]

1 0

BioSB course on Managing and Integrating Life Science Information, 30 Nov - 4 Dec, Utrecht, the Netherlands
by Celia.vanGelder＠radboudumc.nl 09 Oct '15

09 Oct '15

BioSB Course on Managing and Integrating Life Science Information: Approaches using Linked Data and Semantics (4th edition) Course coordinators: Marco Roos, Katy Wolstencroft Date: 30 November - 4 December 2015 Location: SURF, Utrecht, the Netherlands Website: http://biosb.nl/education/course-portfolio/course-managing-and-integrating-…. Registration: http://biosb.nl/education/course-portfolio/course-managing-and-integrating-… .Please not that this course is free of charge for PhDs who are or will become a member of the BioSB research school, and with a reduced fee for other researchers who are or will become a member of BioSB. More information about the BioSB membership can be found here: http://biosb.nl/about/members/biosb-membership-information/ . Course flyer: http://biosb.nl/wp-content/uploads/2013/08/Wolstencroft_Roos_Course_2015_Ju… Target audience This course is for bioinformaticians who would like to learn about leading-edge data and knowledge integration solutions. You will learn (1) powerful and flexible approaches to data and information management for your bioinformatics application (Semantic Web and Linked Data), (2) how to work with data across remote locations, for instance by applying Web Services and workflows, (3) how to publish your own data to make it available and reusable for the rest of the community. We assume a basic understanding of bioinformatics programming for the hands on sessions. It would suit previous user participants of BYOD<http://www.dtls.nl/fair-data/byod/> meetings who would like more hands-on experience of data integration. It would also suit data providers who would like to explore new ways of serving their data or integrating it with other resources Description The amount of Life Science data available in the public domain is a vast and growing resource for bioinformatics research. There are over 20 million papers in PubMed and over 1600 biological databases. In many cases finding and applying the information from these resources is far from trivial. Following this course will show you techniques for working with these distributed resources, which includes using the web of Linked data and scientific workflows. It will also focus on methods for using or linking your own data into this large distributed Semantic Web of resources, in order to ensure that your data is FAIR<http://www.dtls.nl/fair-data/byod/> (Findable, Accessible, Interoperable and Reusable). This course introduces modern techniques for the management of life science data and knowledge for bioinformatics applications. After following this course students should be able to start creating their first applications based on these technologies or make more informed design decisions for their current application. In this course you will learn about: 1. Linked Data and the Semantic Web technologies that underpin it 2. How you can use Linked Data for data and knowledge integration in the Life Sciences 3. Available Linked Data resources in the public domain and large-scale projects that use these resources 4. How you can integrate your own data with Linked Data resources 5. How you can combine data integration and analysis over distributed resources, using Web Services and workflows Lecturers: Marco Roos, Katy Wolstencroft, Frank van Harmelen, Paul Groth, Simon Jupp, Jesse van Dam, and others TBC . Programme Monday - Introduction to Semantic Interoperability and the Semantic Web The Semantic Web primer, an introduction to RDF and Linked Data Tuesday - The Semantic Web in Use. Querying public Linked Data resources Querying Linked Data with SPARQL, using public Linked Data resources from the EBI Wednesday - The Semantic web in use (2) - Systems and guidelines Guidelines and best practices for Linked Data, Case study Open PHACTS - using Linked Data for research Thursday - Making Data Understandable and Searchable Methods for annotating and providing Linked Data, using and understanding ontologies Friday - Using, Integrating and Analysing Data Using scientific workflows and web services to integrate and analyse Linked Data and other kinds of data Dr. Celia W.G. van Gelder Education Manager BioSB Coordinator Education CMBI Programme Manager Learning DTL/ELIXIR-NL tel. +31613375327 e-mail: Celia.vanGelder(a)radboudumc.nl<mailto:Celia.vanGelder@radboudumc.nl> websites: www.nbic.nl<http://www.nbic.nl/>, www.biosb.nl, www.cmbi.ru.nl<http://www.cmbi.ru.nl/>, www.dtls.nl Postal address: CMBI 260 Radboud University Nijmegen-Medical Centre PO Box 9101 6500 HB Nijmegen The Netherlands Het Radboudumc staat geregistreerd bij de Kamer van Koophandel in het handelsregister onder nummer 41055629. The Radboud university medical center is listed in the Commercial Register of the Chamber of Commerce under file number 41055629.

1 0

[DUTCH] Vacature docent praktijkonderwijs HAN Nijmegen
by Bruggen Martijn van der 06 Oct '15

06 Oct '15

De Faculteit Techniek zoekt voor de campus in Nijmegen per direct Docent PraktijkOnderwijs Bio-informatica (0,8 - 1,0 .fte) De Faculteit Techniek (FT) verzorgt de technische opleidingen van de HAN. Studenten volgen er competentiegericht onderwijs in moderne werkvormen en in diverse trajecten, zoals in voltijd, deeltijd en duaal. Ze worden opgeleid tot gekwalificeerde bachelors/ingenieurs in het specifieke beroepenveld. Medewerkers van de faculteit zijn werkzaam in het reguliere onderwijs en mogelijk ook in post-hbo-, internationale en masteropleidingen, en voor onderzoeksopdrachten van én voor bedrijven en instellingen. Het Instituut Applied Sciences van de Faculteit Techniek leidt zijn studenten op tot (laboratorium)medewerkers in het chemische, biologische, medische en bio-informatica- beroepenveld. Een hecht team geeft hier op moderne en enthousiaste wijze gestalte aan. Wat zijn uw werkzaamheden? U begeleidt leerprocessen met name in de rol van praktijkdocent (bio)informatica, tutor voor de opleiding bio-informatica. U bent vooral werkzaam in het 1e en 2e leerjaar van de opleiding. Wat zijn uw kwaliteiten? U hebt een afgeronde HBO-opleiding op het gebied van de bio-informatica. U bent communicatief, sociaal vaardig en collegiaal. U bent enthousiast, flexibel, resultaatgericht en stressbestendig. Wat bieden wij u? Een interessante en afwisselende functie in een dynamische, informele werkomgeving. Aanstelling vindt plaats voor de duur van een jaar. De aanstelling is van tijdelijke aard. U wordt aangesteld in de functie van Instructeur PraktijkOnderwijs (IPO). Wilt u meer informatie? Voor meer informatie over deze functie kunt u contact opnemen met de heer M. van der Bruggen, opleidingscoördinator Bio-informatica T (06) 55 20 63 44 of via Martijn.vanderBruggen(a)han.nl<mailto:Martijn.vanderBruggen@han.nl> Hebt u belangstelling? Herkent u zich in bovenstaand profiel en voldoet u aan de eisen? Sollicitaties kunnen rechtstreeks naar de contactpersoon worden verstuurd. Deze dienen uiterlijk maandag 12 oktober binnen zijn.

1 0

Edinburgh Genomics 1-day workshop: Oxford Nanopore MinION Sequencing - Data Handling, Analysis and Applications Thursday 10 Dec 2015
by Bert Overduin 06 Oct '15

06 Oct '15

To whom this may concern: Edinburgh Genomics is happy to offer a 1-day workshop "Oxford Nanopore MinION Sequencing - Data Handling, Analysis and Applications". *Description:* Nanopore sequencing is one of the newest sequence technologies, in which single DNA molecules are sequenced directly, without the need for an intervening PCR amplification step or a chemical labelling step. It offers the potential of read lengths of tens of kilo bases. The Oxford Nanopore MinION ( https://www.nanoporetech.com/products-services/minion-mki) is a portable sequencing device that already has proven its power in e.g. the rapid identification of viral pathogens, the monitoring of ebola, genome assembly improvement, and environmental and food safety monitoring. As a member of the pre-release MinION Access Programme (MAP), Edinburgh Genomics has considerable experience in both generating and analyzing MinION sequence data and also has published one of the first software tools to visualize and analyze these data [1]. This workshop will focus on the handling, analysis and applications of MinION sequence data. The workshop will be a combination of presentations, demos and hands-on tutorials. In the hands-on tutorials a wide range of software programs will be used, some of which were especially developed for the MinION. [1] M Watson et al. poRe: an R package for the visualization and analysis of nanopore sequencing data. Bioinformatics. 2015 Jan 1;31(1):114-5. *Topics:* The following topics will be covered: - Introduction to the Oxford Nanopore MinION sequencing technology - Organisation of raw reads (poRe/Poretools) - Extraction of FASTQ/A data (poRe/Poretools) - Gathering and visualization of run statistics (poRe/Poretools) - Error correction and quality control (Nanocorr, NanoOK) - Alignment of reads (Last, BWA, R) - Event alignment (Nanopolish) - Scaffolding of short reads (SSPACE-LongRead) - Hybrid de novo assembly (SPAdes) *Who should attend?* This workshop is aimed at anyone who is working with, or is planning to work with, Oxford Nanopore MinION sequence data. *Instructors:* - Mick Watson (Head of Bioinformatics) - Judith Risse (Bioinformatician, Edinburgh Genomics) - Bert Overduin (Training and Outreach Bioinformatician, Edinburgh Genomics) *Requirements:* For this workshop basic knowledge of Linux is essential, while familiarity with R would be advantageous. *Cost:* The registration fee for this workshop is £155, which includes lunch and refreshments. *Application:* You can apply for this workshop by filling in the application form at https://www.surveymonkey.com/r/8WM7SF3. Application will close on Thursday 12 November 2015 noon. Successful applicants will be notified a.s.a.p. after this date. *Information:* For more information, please contact Bert Overduin (bert.overduin(a)ed.ac.uk) Note that registration is also open for our RNA-seq, Linux and Python workshops. For more information, please see https://genomics.ed.ac.uk/events/workshops. With kind regards, Bert Overduin -- Bert Overduin, PhD TRAINING AND OUTREACH BIOINFORMATICIAN Bert.Overduin(a)ed.ac.uk EDINBURGH GENOMICS The University of Edinburgh Ashworth Laboratories The King's Buildings Charlotte Auerbach Road Edinburgh EH9 3FL Scotland, United Kingdom tel. +44(0)1316507403 http://genomics.ed.ac.uk The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

1 0

Recruitment of Edinburgh ER, bioinformatics
by Lieven Sterck 06 Oct '15

06 Oct '15

Marie-Curie postdoc position in bioinformatics at Edinburgh University. best, lieven > From: Karim Gharbi [ mailto:Karim.Gharbi@ed.ac.uk ] > Sent: 04 October 2015 07:52 > To: Clark, Melody S. > Cc: angela.noble(a)ed.ac.uk ; CACHE ITN, BAS; Mark Blaxter; dpower(a)ualg.pt ; > 'Kristina Sundell' > Subject: Re: Recruitment > Hi Mel: > The ER post was advertised on Friday: > https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobs… > ESR to follow. > Cheers, > Karim > This message (and any attachments) is for the recipient only. NERC is subject to > the Freedom of Information Act 2000 and the contents of this email and any > reply you make may be disclosed by NERC unless it is exempt from release under > the Act. Any material supplied to NERC may be stored in an electronic records > management system . > The Scottish Association for Marine Science (SAMS) is registered in Scotland as > a Company Limited by Guarantee (SC009292) and is a registered charity (9206). > SAMS has two actively trading wholly owned subsidiary companies: SAMS Research > Services Ltd (SC224404) and SAMS Ltd (SC306912). All Companies in the group are > registered in Scotland and share a registered office at Scottish Marine > Institute, Oban Argyll PA37 1QA. The content of this message may contain > personal views which are not the views of SAMS unless specifically stated. > Please note that all email traffic is monitored for purposes of security and > spam filtering. As such individual emails may be examined in more detail.

1 0

Joint postdoc position at University of Washinton and Institute for Systems Biology
by Theo Knijnenburg 05 Oct '15

05 Oct '15

Please feel free to distribute this ad among potential candidates. ___ *University of Washington — Institute for Systems Biology* *Joint Postdoctoral Fellow* *Computational Identification of Molecular Determinants of Cancer Therapeutic Response* *Contact:* Prof. Ray Monnat (UW) monnat(a)u.washington.edu Prof. Ilya Shmulevich (ISB) ilya.shmulevich(a)systemsbiology.org We are recruiting a new computationally-oriented Postdoctoral Fellow to work as part of a multidisciplinary NCI-funded Program grant focused on developing better ways to treat adult acute myelogenous leukemia (AML) and glioblastoma multiforme (GBM). See attached PDF for details.

1 0