December 2010 - BBClist - maillist.psb.ugent.be

Integrative Bioinformatics 2011: 2nd call for abstracts
by Jack Leunissen 16 Jul '12

16 Jul '12

Dear colleague, The 2011 International Symposium on Integrative Bioinformatics (IB2011) will take place on March 21-23, 2011 in Wageningen (the Netherlands). This seventh meeting on Integrative Bioinformatics will be of interest to bioinformaticians, computer scientists and all working in, or interested in the developing area of integrative bioinformatics. There will be opportunities to present and discuss methods, theoretical approaches, and their practical applications. We invite you to register for the conference, and to send in an abstract for a presentation at the conference. Accepted abstracts will be invited for a presentation at the conference, and will also be invited to send in a full manuscript, to be published (after peer reviewing) in the IB2011 Special Issue of the Journal of Integrative Bioinformatics. The deadline for sending in an extended abstract is January 15th; submissions should not exceed 4 pages. Authors will be informed of acceptance before February 1st. There are also opportunities for presenting posters and software demonstrations at the Symposium. The deadline for sending in abstracts for posters or a software demo is February 15th, 2011. The best poster will receive an award sponsored by IMBio e.v. The conference website is open for registration and abstract submission, and can be found at www.bioinformatics.nl/ib2011/ and www.imbio.de/ib2011/. We hope to meet you in March in Wageningen. On behalf of the organizing committee, Jack Leunissen Wageningen UR IB2011 is organized by Wageningen University, the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, and IMBio e.V. == Disclaimer: We have tried our best to remove duplicate e-mail addresses from our mailing list to reduce the amount of clutter in your mailbox. It may nevertheless still happen that you receive this mail via different channels. We apologize if you receive this mail more than once.

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postdoctoral position in structural bioinformatics
by Tom Lenaerts 22 Dec '10

22 Dec '10

The Machine Learning group at the Computer Science Department of the Université Libre de Bruxelles (Brussels, BELGIUM) invites motivated and enthusiastic young scientists to apply for a postdoctoral position, offering a tenure of 36 months. Research context and tasks This position is part of a new interdisciplinary FRFC project called “Unraveling the information processing patterns of SH2 domains participating in the JAK/STAT pathway”. In this project the applicant is expected to research algorithms that 1. Identify residue patterns responsible for the information exchange within the 3D structure of proteins and their domains. 2. Determine the evolutionary relevance of such patterns within the domain or protein family. 3. Produce chimeras of particular domains with specific functionality. This work will be performed in close collaboration with the new VIB BioNMR lab located at the Vrije Universiteit Brussel and the Signal transduction & molecular hematology group located in the Ludwig Institute for Cancer Research and de Duve Institute of the Université Catholique de Louvain. The project provides an excellent opportunity to improve skills in fields of structural bioinformatics, complex networks, data analysis and machine learning. Location The Machine Learning Group is a research group that carries out theoretical and applied research in predictive modeling, simulation and computational biology, and takes part in several applied research projects in domains as diverse as data mining, (structural) bioinformatics to learning dynamics and biomedical engineering. Located in heart of Brussels, the Université Libre de Bruxelles is known for quality research through its prestigious affiliate research centers and world-renowned faculty. Brussels, the capital of Belgium and the European Union, is a cosmopolitan city famous for its picturesque squares and buildings, serene parks and gardens and a very vibrant cultural life spiced up by many international languages. Candidate profile The ideal candidate should have a recent PhD on a subject related to computational biology, (structural) bioinformatics, machine learning or pattern detection. Since a large part of the research involves the development of algorithms to either generate/extract data or to detect particular patterns, the applicants are expected to have strong programming skills (knowledge of C++ is a strong plus). In addition the ideal candidate knows how to work independently, has strong interpersonal skills, has good English writing and oral communication skills. Knowledge of French or Dutch is an asset. Upon offer of a position in MLG-ULB, the candidates who are non-EU citizens are required to obtain an appropriate long-term Schengen visa; further information is available from their nearest Belgian embassy. More information for international applicants can be found in this web-document: http://www.ulb.ac.be/international/docs/ResearcherattheULB2010.pdf Deadline Applicants are encouraged to apply as soon as possible as positions will remain open until filled by a suitable candidate. Contact Candidates are invited to send their CV with the detailed list of publications, a research statement, a copy of the thesis and the names of at least two references in .pdf format by email to Tom.Lenaerts(a)ulb.ac.be. The subject field of your email must be MLG-JOB: postdoc. Equal Opportunity Employer ULB is an equal opportunity employer and is committed to employing more handicapped individuals and especially encourages them to apply. ULB wishes to increase the proportion of women in areas in which they are underrepresented. Women are strongly encouraged to apply.

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NBIC PhD Course Pattern Recognition, Jan 17-21 2011, Delft
by Celia van Gelder 19 Dec '10

19 Dec '10

*PhD Course: Pattern Recognition* On Jan 17-21, 2011 the NBIC PhD School organises the second edition of the PhD Course 'Pattern Recognition' in Delft. Course Coordinator: Dick de Ridder (Delft University) The course aims at PhD students with a background in bioinformatics, computer science or a related field. The course introduces basic techniques from the fields of pattern recognition and machine learning to solve bioinformatics problems. After having followed this course, a student should have an overview of basic pattern recognition techniques and be able to recognize what method is most applicable to classification problems (s)he encounters in bioinformatics applications. More information about the course, including information about the course programme, can be found on <http://www.nbic.nl/education/nbic-phd-school/course-schedule/optimisation-t…>http://www.nbic.nl/education/nbic-phd-school/course-schedule/pattern-recogn…. Please note: the course is free for PhD students working in a BioRange (including matching) or BioAssist project and for PhD students from SIB. Others can participate as well when paying a course fee (see http://www.nbic.nl/education/nbic-phd-school/enrolment/) This course is part of the Education Programme of the NBIC PhD School. The PhD School is an initiative of NBIC together with a number of universities to organize high level education and training for PhD-students in bioinformatics. More information about the latest developments of the NBIC PhD School can also be found on the NBIC website (www.nbic.nl <http://www.nbic.nl><http://www.nbic.nl>-> Education -> NBIC PhD School). -- Dr. Celia W.G. van Gelder Coordinator Education CMBI Projectleader Education NBIC tel. +31-(0)24-3666120 e-mail: C.vanGelder(a)cmbi.ru.nl websites: www.cmbi.ru.nl, www.nbic.nl Postal address: CMBI 260 Radboud University Nijmegen-Medical Centre /NCMLS PO Box 9101, 6500 HB Nijmegen The Netherlands

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post doc position
by laurence lins 09 Dec '10

09 Dec '10

Please find hereby an application for a post doc position in ULg (Gembloux) Regards Laurence Lins -- Dr Laurence Lins Maître de recherches FNRS Centre de Biophysique Moléculaire Numérique Université de Liège-Gembloux Agro Bio Tech Passage des Déportés,2-5030 Gembloux-Belgium Tél : (00-32) (0)-81-622534 Fax : (00-32) (0)-81-622522 Email : l.lins@ulg.ac.be/lins.l@fsagx.ac.be

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