- BBClist - maillist.psb.ugent.be

Seventh Summer School on Advanced Statistics and Data Mining (Madrid, June 25th - July 6th, 2012)
by Rubén Armañanzas 12 Apr '12

12 Apr '12

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the summer school on 'Advanced Statistics and Data Mining' in Madrid between June 25th and July 6th. This year's programme comprises 12 courses divided into 2 weeks. Attendees may register in each course independently. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Best regards, -- The coordinators of the school. *List of courses and brief description* Week 1 (June 25th - June 29th, 2012) Course 1: Bayesian networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Course 2: Statistical inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Course 3: Supervised pattern recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Multivariate data analysis (15 h) Introduction. Data Examination. Principal component analysis (PCA). Factor Analysis. Multidimensional Scaling (MDS). Correspondence analysis. Multivariate Analysis of Variance (MANOVA). Canonical correlation. Course 5: Neural networks (15 h) Introduction. Perceptrons. Training algorithms. Accelerating convergence. Useful tricks for MLPs. Deep networks. Course 6: Feature Subset Selection (15 h) Introduction. Filter approaches. Wrapper methods. Embedded methods. Drawbacks and future strands. Practical session. Week 2 (July 2nd - July 6th, 2012) Course 7: Time series analysis (15 h) Introduction. Probability models to time series. Regression and Fourier analysis. Forecasting and Data mining. Course 8: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Course 9: Hot topics in intelligent data analysis (15 h) Multi-label and multi-dimensional classification. Advanced Bayesian classifiers. Advanced Clustering. Partially supervised classification with uncertain class labels. Directional statistics. Spatial point processes. Course 10: Unsupervised pattern recognition (15 h) Introduction. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Course 11: Support vector machines and kernel methods (15 h) Introduction. SVM models. SVM learning algorithms. Other kernel methods: Kernel PCA, Kernel FDA, Kernel K-means. Practical work. Course 12: Regression (15 h) Introduction. Simple Linear Regression Model. Measures of model adequacy. Multiple Linear Regression. Regression Diagnostics and model violations. Polynomial regression. Variable selection. Indicator variables as regressors. Logistic regression. Nonlinear Regression.

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FW: PhD Position in Molecular Ecology
by Tim De Meyer 11 Apr '12

11 Apr '12

to forward to potential candidates (a bioinformatics background is desirable) Prof. Godelieve Gheysen Ghent University Department Molecular Biotechnology Coupure links 653 9000 Ghent Belgium tel 32 9 264 5888 fax 32 9 264 6219 ----- Original Message ----- From: cristina.tamo(a)ips.unibe.ch Sent: Tuesday, April 10, 2012 3:52 PM Subject: PhD Position in Molecular Ecology Dear colleague, Please find attached an advertisement for a PhD Student position at our institute. I would very much appreciate if you could bring it to the attention of interested candidates from your laboratory. Thank you very much for your help. Cris Kuhlemeier Professor of Plant Sciences Institute of Plant Sciences Altenbergrain 21 CH-3013 Bern Switzerland phone +41 31 631 49 13 fax +41 31 631 49 42 <mailto:cris.kuhlemeier@ips.unibe.ch> cris.kuhlemeier(a)ips.unibe.ch <http://www.botany.unibe.ch/> http://www.botany.unibe.ch/ _____ Geen virus gevonden in dit bericht. Gecontroleerd door AVG - www.avg.com Versie: 2012.0.1913 / Virusdatabase: 2411/4926 - datum van uitgifte: 04/10/12

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postdoc job vacancy at KU Leuven - ESAT-SCD-SISTA-BIOI group : Candidate gene prioritization by genomic data fusion
by Michiel Van Bel 10 Apr '12

10 Apr '12

> Candidate gene prioritization by genomic data fusion > > > > Promotor: <http://www.kuleuven.be/wieiswie/en/person/00012794>Yves Moreau > > Description: The Bioinformatics Lab at the University of Leuven is searching for an exceptional postdoctoral fellow who will work under the supervision of Prof. Yves Moreau to develop a novel platform for candidate gene prioritization by genomic data fusion. The lab has developed Endeavour for the prioritization of candidate diseases genes using heterogeneous genomic data (Aerts et al., 2006). This platform is now broadly established within the human genetics community as an effective tool to support disease gene discovery (Thienpont et al., 2010). We have also extended our original methodology using network analysis (Lage et al., 2007) and kernel methods (De Bie et al., 2007; Yu et al., 2010). The goal of the postdoctoral fellow will be to develop a platform for gene prioritization that implements such strategies and is broadly usable by wet-bench biologists (web interface) and bioinformaticians (API or web service). > > The candidate will hold a PhD in bioinformatics with an excellent publication record. The ideal candidate will have a strong record in software engineering of bioinformatics methods, analysis of molecular networks, and practical applications of kernel methods. Excellent Java and web application development skills are essential. The candidate should have extensive practical knowledge of kernel methods, including software libraries (for example, Shogun). Knowledge of multiple kernel learning and feature selection methods is a plus, as well as the capacity to develop novel kernel algorithms. Knowledge of molecular network analysis and bag-of-word text-mining methods are additional assets. > > The postdoctoral fellow will be embedded in the SymBioSys Center for Computational Systems Biology, which is a consortium of computational scientists and molecular biologists at the University of Leuven that focuses on how individual genomic variation leads to disease through cascading effects across biological networks (in constitutional disorders and leukemias). We develop innovative computational strategies for next-gen sequencing and biological network analysis, with demonstrated contributions to actual biological breakthroughs. Eagerness to collaborate with biologists and geneticists on gene discovery projects is crucial. Ability to contribute to coaching PhD students and acquiring external funding is another plus. > > We offer a competitive package and a fun, dynamic environment with a top-notch consortium of young leading scientists in bioinformatics, human genetics, and cancer. Our consortium offers a rare level of interdisciplinarity, from machine learning algorithms to fundamental advances in molecular biology to direct access to the clinic. The University of Leuven is one of Europe’s leading research universities, with English as the working language for research. Leuven is one of Europe’s most beautiful university towns, just outside Brussels, at the heart of Europe. > > Related publications by the lab > oAerts S et al. Gene prioritization through genomic data fusion. Nat Biotechnol. 2006. > oThienpont B et al. Haploinsufficiency of TAB2 causes congenital heart defects in humans. Am J Hum Genet. 2010. > oLage K et al. A human phenome-interactome network of protein complexes implicated in genetic disorders. Nat Biotechnol. 2007. > oDe Bie T et al. Kernel-based data fusion for gene prioritization. Bioinformatics. 2007. > oYu S et al. L2-norm multiple kernel learning and its application to biomedical data fusion. BMC Bioinformatics. 2010. > > > Key words: bioinformatics, candidate gene prioritization, genomic data fusion, network analysis, kernel methods, software engineering, Endeavour > > Start date: 2012-09-1 > Application date: 2012-06-26 > Publication date: 2012-03-26 > > Financing: SymBioSys > > Link: <http://www.esat.kuleuven.be/scd/>http://www.esat.kuleuven.be/scd/ > > Research group: Department of Electrical Engineering (ESAT) > > Remarks: Please send in PDF: > (1) a CV including education (with Grade Point Average, class rank, honors, etc.), research experience, and bibliography, > (2) a one-page research statement, and > (3) three references (with phone and email) to Prof. Yves Moreau, c/o Ms. Mimi Deprez – <mailto:mimi.deprez@esat.kuleuven.be>mimi.deprez(a)esat.kuleuven.be. Preferred start date is September 2012. The candidate will commit to a three-year postdoc period. > > Apply to <http://phd.kuleuven.be/set/postdoc/voorstellen_departement?departement=5000…>Click here to apply to this project

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Probabilistic Graphical Models (PGM2012) Second Call for Papers
by Manuel Gómez Olmedo 28 Mar '12

28 Mar '12

Probabilistic Graphical Models (PGM2012) Workshop *Granada, Spain, 19-21 September 2012 (http://leo.ugr.es/pgm2012) * *Call for papers*: The aim of the workshop is to bring together people interested in probabilistic graphical models and provide a forum for discussion of the latest research developments in this field. The workshop is organized so as to facilitate discussions and collaboration among the participants also outside the workshop sessions. To facilitate the spreading of research results and promote interactions among the participants, parallel sessions will be avoided and the workshop will be organized around a single thread of plenary and posters sessions. We welcome theoretical and applied contributions related to the following topics: - Principles of Bayesian (belief) networks, chain graphs, decision networks, influence diagrams, and other probabilistic graphical models (PGMs). - Information processing in PGMs (exact and approximate inference). - Learning and data mining in the context of PGMs: machine learning approaches, statistical testing and search methods, MCMC simulation. - Exploitation of results from related disciplines for the construction of PGMs, e.g., statistics, information theory, optimization, decision making under uncertainty, multivariate statistical analysis. - Software systems based on PGMs. - Application of PGMs to real-world problems. We invite submissions that concern one or more of the above topics, or any other aspects related to probabilistic graphical models. Papers submitted for review should report on original, previously unpublished work. Each submitted paper will be reviewed by at least two reviewers. Submission procedure PGM 2012 requires electronic submission of papers according to the instructions found on the web page http://leo.ugr.es/pgm2012/author-instructions.php. The authors must prepare their papers according to the PGM proceedings format, and submit the full version of the papers by the deadline found below. The page limit is 8 pages, including figures and bibliography. The page for author instructions contains format information and provides access to style files and templates. Paper presentation Papers will be accepted for plenary or poster presentation. All accepted papers will be included in the proceedings (with ISBN), which will be made available at the workshop reception. At least one author of accepted papers is expected to attend the workshop. After the workshop, authors of selected papers will be invited to submit an extended version of their paper to appear in a special issue of a high quality journal. All of the submitted papers will undergo a full reviewing process. Important Dates Call for papers opened November 2011 Deadline for abstract submissions April 27, 23:59 GMT, 2012 Paper submissions May 4, 23:59 GMT, 2012 Notification of acceptance June 29, 2012 Final versions due August 17, 23:59 GMT, 2012 Welcoming reception September 18, 2012 Workshop dates September 19-21, 2012 -- Manuel Gomez Olmedo e-mail:mgomez@decsai.ugr.es Dpto. de Ciencias de la Computacion e Inteligencia Artificial E.T.S. Ingenierias Informatica y de Telecomunicacion Universidad de Granada Tel.: +34 958 246143 18071 - GRANADA (Spain) Fax: +34 958 243317

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24-36 months postdoc in Marseille: bioinformatics of marine metagenomes
by Delphine Potier 27 Mar '12

27 Mar '12

*[EN]**************************************************************************** The Genomics and Structural Information Laboratory is seeking a postdoctoral fellow for a 24-36 months contract. ================================================================================= Localisation: Marseille (Luminy Campus) FRANCE - IGS Laboratory CNRS UMR7256 Starting date: as soon as possible (as early as April 2012) Duration: initially “postdoctoral” contract for 24 months, possibly followed by a further 12 months as “researcher” (short term contracts administered by CNRS) Monthly salary: around 2000-2500 euros net depending on experience Funding: European FP7 project MicroB3 (4 years, started 1st January 2012) ================================================================================= Scientific context: The IGS laboratory in Marseille contributes to the exploration of the ocean ecosystem within the European MicroB3 consortium (Biodiversity, Bioinformatics, Biotechnology - http://www.microb3.eu/) The candidate, integrated in a bioinformatics team, will participate in the development of methods for the analysis of marine viral biodiversity estimated from very large scale metagenomics datasets (including data produced by the TARA OCEANS consortium http://oceans.taraexpeditions.org/) Qualifications and Experience: Applicants should hold a PhD and solid experience in bioinformatics. Proven skills in programing are essential. Familiarity with one or several of the following would be an advantage: manipulation of ultra-high throughput sequencing datasets (454, Illumina HiSEQ), metagenome analysis, marine plankton biodiversity, environmental virology. ================================================================================= Interested candidates should send their application by email to : pascal.hingamp(a)univ-amu.fr<mailto:pascal.hingamp@univ-amu.fr> andHiroyuki.Ogata(a)igs.cnrs-mrs.fr<mailto:Hiroyuki.Ogata@igs.cnrs-mrs.fr>. The application should include a cover letter stating earliest starting date, a detailed CV and the email addresses of three referees. *[FR]**************************************************************************** Le laboratoire Information Génomique et Structurale recrute un chercheur post-doctorant pour 24-36 mois. ================================================================================= Localisation: Marseille (Campus de Luminy) - Laboratoire IGS CNRS UMR7256 Date de démarrage: poste à pourvoir immédiatement (dès avril 2012) Durée: initialement CDD “postdoctoral” de 24 mois, puis possibilité de 12 mois supplémentaires en CDD “chercheur” (contrats gérés par le CNRS) Salaire net mensuel: environ 2000-2500 euros net selon expérience Financement: projet Européen FP7 MicroB3 (4 ans, démarré le 1er janvier 2012) ================================================================================= Contexte scientifique: Le laboratoire IGS à Marseille contribue à l'exploration de l'écosystème marin dans le cadre du projet Européen MicroB3 (Biodiversity, Bioinformatics, Biotechnology - http://www.microb3.eu/) Le ou la candidat(e), intégré(e) dans une équipe de bioinformaticiens, participera au développement de méthodes d'analyse de la biodiversité des virus marins à partir de données métagénomiques à très grande échelle (notamment issues du projet TARA OCEANS http://oceans.taraexpeditions.org/) Profil: Les candidats devront avoir un doctorat et une solide expérience en bioinformatique. Des compétences éprouvées en programmation sont indispensables. Une expérience dans un ou plusieurs domaines suivants serait très appréciée: traitement de données de séquençage à haut débit (454, Illumina HiSEQ), analyse de séquences métagénomiques, biodiversité du plancton marin, virologie environnementale. ================================================================================= Les personnes intéressées doivent adresser leur candidature par email à pascal.hingamp(a)univ-amu.fr<mailto:pascal.hingamp@univ-amu.fr> etHiroyuki.Ogata(a)igs.cnrs-mrs.fr<mailto:Hiroyuki.Ogata@igs.cnrs-mrs.fr>. Les dossiers de candidature devront inclure une lettre de motivation précisant la date à laquelle le candidat serait disponible, un CV détaillé en anglais, et les noms et coordonnées de courriel de 3 références.

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Fwd: NSBM Spring Meeting April 25th CALL FOR ABSTRACTS
by Barbara van Kampen 26 Mar '12

26 Mar '12

reminder! -------- Original Message -------- Subject: NSBM Spring Meeting April 25th CALL FOR ABSTRACTS Date: Mon, 06 Feb 2012 16:24:08 +0100 From: Barbara van Kampen <b.vanKampen(a)cmbi.ru.nl> To: B.van Kampen <B.vanKampen(a)cmbi.ru.nl> NETHERLANDS SOCIETY ON BIOMOLECULAR MODELLING Spring Meeting April 25th 2012 in conjunction with the Netherlands Bioinformatics Conference 2012 Venue: Congrescentrum De Werelt, Lunteren CALL FOR ABSTRACTS The NSBM cordially invites you to visit its spring meeting, which is being held in conjunction with the Netherlands Bioinformatics Conference 2012. During the parallel session, the floor will be given to PhD students and post-docs who study protein structure and/or structural bioinformatics or related topics (see a list below). Speakers and attendees will have the opportunity to join the NBIC 2012 activities and visit key note lectures by Gerard Kleywegt of the European Bioinformatics Institute, Cambridge and by Dorus Gadella, of the Centre for Advanced Microscopy (CAM) at the University of Amsterdam. Abstract Format Abstracts should be limited to a maximum of 10 lines, with 12-pt font and single-spaced text, giving a short description of the research done. Please include a title in bold. The name(s) and affiliation(s) of the author(s) should follow the title. The opportunity will be given to present a poster, though this is not mandatory. If you wish to present a poster, please indicate so. Abstract Submission All abstracts, also for those who already registered for the NBIC meeting, should be submitted electronically in MSWord via e-mail attachment to g.nicolaes(a)maastrichtuniversity.nl The deadline for receipt of all abstracts is April 15th 2012. Selected candidates will be notified no later than April 18th 2012. Presentations will be 20 min, including a 5 min discussion. Starting PhD students are particularly encouraged to present their research. For questions regarding the abstract or meeting please contact Gerry Nicolaes, +31-(0)43 3881688, g.nicolaes(a)maastrichtuniversity.nl Registration Registration can be performed through the NBIC site at: http://www.nbic.nl/about-nbic/nbic-conferences/nbic-conference-2012/registr… The 1-day conference fee amounts €62,50 for NBIC members and € 75,- for non-NBIC members and includes participation to the conference and poster sessions on April 25th, lunch, coffee/tea during breaks, internet access. Should a lack of funding be a hurdle for visiting the NSBM Spring Meeting, please contact prof. Gert Vriend at vriend(a)cmbi.ru.nl so that an arrangement can be made. Topics for presentations may include, but are not limited to: • Computational Biology and Bioinformatics • Computer-aided drug design • Drug design and drug discovery • Grid computing • Homology modelling • Molecular and supramolecular dynamics • Molecular modeling and simulation • Mutational analysis • Protein crystallography • Protein NMR • Protein structure analysis • Protein structure prediction • Protein-protein interactions • Protein-small molecules interaction • Protein software design • Proteomics • Structural bioinformatics • Structure-function analysis • Text mining& information extraction • Virtual screening Links http://www.nbic.nl/about-nbic/nbic-conferences/nbic-conference-2012/program… -- Barbara van Kampen CMBI 260 Radboud University Nijmegen-Medical Centre / NCMLS CMBI Office / Room 0.02 PO Box 9101 Geert-Grooteplein 26-28 6500 HB Nijmegen 6525 GA Nijmegen Phone: +31(0)24 36 19390 Fax: +31 (0)24 36 19395 www.cmbi.ru.nl

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Bioinformatician permanent position at the university of Luxembourg
by Antony LE BECHEC 23 Mar '12

23 Mar '12

Dear Colleague, Chers collègues, Please find attached a permanent position for a bioinformatician at the University of Luxembourg: Veuillez trouver ci-joint une proposition de poste de bioinformatician en CDI à l'Université du Luxembourg: http://recruitment.uni.lu/fr/details.html?id=QMUFK026203F3VBQB7V7VV4S8&nPos… Best regards, Cordialement, Antony Le Béchec The University of Luxembourg is a multilingual, international research University. The University of Luxembourg is inviting applications for a Bioinformatician (m/f) (Adjoint de Recherche) Permanent contract, full time Ref. F1-060004 Employee status The University of Luxembourg engages a scientist with a strong interdisciplinary background in bioinformatics. The successful candidate will be active within the Life Sciences Research Unit and interact with the Bioinformatics Core Facility of the recently funded Luxembourg Center for Systems Biomedicine. Vos tâches The successful candidate will work together with the teams of LSRU to provide support and expertise in bioinformatics within the frame of their projects. The candidate should be able to work independently, prioritize and manage a variety of tasks. He /she will contribute to data-mining of preprocessed data (e.g. microarrays, next generation sequencing, metabolomics, proteomics data provided by Centers). The candidate will develop novel bioinformatics tools and approaches, in cooperation with the Bioinformatics Core Facility of the LCSB. He/she will organise training sessions in bioinformatics for scientists and PhD students. Votre profil Qualifications and Experience The candidate should be experienced with handling knowledge databases, resources and tools commonly used in bioinformatics for sequence alignments, gene annotation, binding motif predictions, gene ontology and pathway analyses. He/she should have expertise in high throughput data analysis and predictive network generation. Good knowledge of various high trough-put technologies and platforms is expected. The candidate should be capable of making use of statistical methods commonly used in bioinformatics. Solid skills in IT, database management, programming languages e.g. java, PERL, and in data visualisation are expected. Excellent organizational and communication skills are a prerequisite for the position. PhD degree in bioinformatics, computational biology, and/or biology with a proven track record in bioinformatics. A publication record in bioinformatics with relevance to biological sciences. As the candidate will have to deal with in a multilingual context, she/he must have an excellent command of English language (written and spoken). Knowledge of French and/or German will be considered as an advantage. For further information please contact Prof. Evelyne Friederich, evelyne.friederich(a)uni.lu Notre offre Please apply online (letter of motivation and CV in English) until 15th May 2012 The University of Luxembourg is an equal opportunity employer. Applications will be handled in strict confidence. -- Dr. Antony Le Béchec University of Luxembourg FSTC - Faculty of Sciences, Technology and communication Campus Limpertsberg 162a, avenue de la Faïencerie L-1511 Luxembourg Tel: (+352) 46 66 44 6581 Email: antony.lebechec(a)uni.lu<mailto:antony.lebechec@uni.lu> www.uni.lu

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NBIC NGS Exome Sequencing & Variant Calling course
by Patrick Koks 18 Mar '12

18 Mar '12

*NBIC NGS Exome Sequencing & Variant Calling course* Title: “*Genomic resequencing: variant detection and interpretation in a diagnostic context*” Date: April 4-5th 2012 Organisers: NBIC, LUMC, UMC Radboud and CGD Venue: Radboud UMC Nijmegen (exact locations will be communicated in invitation) Website: http://www.nbic.nl/education/course-overview/coursedetails/genomic-resequen… Registration: http://www.nbic.nl/education/nbic-phd-school/enrolment/Application_Genomic_… Course language: English *Targeted audience:* This course is intended for researchers and (molecular) clinical specialists working in a diagnostic setting, who apply or are planning to apply next generation sequencing for the genetic diagnosis of patients. This is an expert course for people with experience in (NGS) data analysis and/or application of diagnostic tools in the clinic. *Description:* The NGS Genomic Resequencing/Variant Calling course is a 2-day expert application course that extends upon the 3-day basic Next-Gen Seqencing data analysis course, although this course is not a prerequisite. A short introduction in the techniques for genomic Next Generation Sequencing (hardware) and sample preparation (wet lab and statistical design) will be followed by lectures and practicals (software) on analysis of raw and aggregated data and interpretation, all with a diagnostic emphasis. Furthermore there will be room for discussion on the interaction between bioinformaticians and clinicians and mutual expectations, implications of NGS on diagnostics, ethics and data sharing. Where possible real data will be used in hands-on software application tutorials, otherwise in demo’s. *Topics include:* • Lab methods in NGS for data acquisition and design of experiments, • Mapping of sequence reads, • Variant Calling, • Quality Control, • Annotation of Variants and Visualisation, • Computational Predictions, • Evaluation and Reporting of results, specifically within a diagnostic context *NBIC BioWise LS* This course is part of the NBIC BioWise Life Sciences (LS) programme that offers bioinformatics courses for researchers in the life sciences. This genomic resequencing and variant detection course is part of a cycle of courses covering the topic of Next Generation Sequencing. On top of the Next Generation Sequencing Data Analysis basic course, that was organised together with the LUMC for the 5th time in 2011 ( http://www.nbic.nl/education/course-overview/archive/pages3/1/coursedetails…) and will be organised again in fall 2012, we are now developing a set of 4 advanced application courses. The RNAseq course in Amsterdam in august 2011 was the 1st of this set and further advanced courses on Metagenomics and de novo assembly using NGS data are being developed right now. More information about the Biowise LS programme can be found at http://www.nbic.nl/education/biowise/ and at http://www.nbic.nl/education/course-overview/ for a complete overview of bioinformatics courses organised in the Netherlands. *For further enquiries, please contact Patrick Koks (NBIC BioWise) at education(a)nbic.nl.* ============= Patrick Koks, NBIC BioWise – Education Tuesday – Wednesday - Thursday tel. #31-(0)24-3619502 e-mail: Patrick.koks(a)nbic.nl web: www.nbic.nl, www.ebiomics.org Postal Address: CMBI 260 Radboud University / UMC / NCMLS PO Box 9101, 6500 HB Nijmegen, The Netherlands Please consider the environment before printing this e-mail

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BBC11: Key information and updates
by Francisco Azuaje 14 Mar '12

14 Mar '12

Dear colleagues, submission of abstracts is well underway and approaching its deadline: Friday, 28 October. Also I remind you that updates on conference venue and travel are now available at: http://www.bbc11.lu/index.php?page=location We look forward to receiving your abstracts soon. All the best. Francisco Azuaje. (On behalf of the BBC11 Organisation).

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CNG/CEA recrutes a bioinformatician for computational epigenetics
by Pierre Dupont 06 Mar '12

06 Mar '12

The National Center for Genotyping (CNG in French) is located in the French Genopole, in Evry, near Paris. This research center is involved in major national and international research projects to study complex diseases according to different biological views (genetic, transcriptomic, epigenetics, ...) using high-throughput technologies (high density microarrays, NGS). The important flow of the biological data produced in the center implies automated data processing pipelines and the application of complex and integrative bioinformatics methods. To strengthen its bioinformatics team, the CNG is immediately recruiting a qualified bioinformatician. This position will be integrated into the laboratories of Epigenetics and Functional Genomics to analyze data produced by last generation sequencing and epi-genotyping technologies. The position will require the following activities: - Project Management - Data processing: filtering, normalization, pre-processing and development of automated pipelines. - Analysis of data: biomarker discovery, construction of predictive models, analysis of biological networks. - Data integration: Combining data from multiple platforms, integrative biological models. Type of contract: Fixed term contract Salary: according to candidate's experience. Education: PhD required in any of these area : Biostatistics, Bioinformatics or Computer Science with some basic knowledge of genetics. Qualifications: - Skills in Machine Learning. - Basic knowledge of biology and genetics. - Knowledge of standard bioinformatics softwares and methods for the analysis of microarray or NGS data. - Proficiency in R environment with Bioconductor packages. - Proficiency in Unix / Linux environment. - Proficiency in at least one scripting language (shell, perl, python) and in programming (Java, C, ...). - Good knowledge of statistics is a plus. - Fluent English is a plus. Please send your CV and a cover letter with references to recrut3(a)cng.fr

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