June 2011 - BBClist - maillist.psb.ugent.be

PhD position on Mathematical Modeling and Machine Learning in Systems Biology, at LCSB Luxembourg
by Pierre Geurts 22 Jun '11

22 Jun '11

A fully-funded PhD position is open at the Luxembourg Centre for Systems Biomedicine, Luxembourg (http://wwwen.uni.lu/lcsb) on Mathematical Modeling and Machine Learning in Systems Biology. The research will focus on the analysis, control, and learning of (discrete) graph dynamical systems (e.g., Boolean networks) as models of real biological networks (e.g., gene regulatory networks). Particular topics include: 1) Relating stability properties of a (discrete) graph dynamical system (e.g., number of attractors) to structural properties of the underlying graph (e.g., cycle space). 2) Analysis and control of (stochastic) graph dynamical systems (e.g., via the tools of Markov decision processes, nonnegative matrices, decompositions). 3) Mathematical programming / combinatorial optimization approaches to learning such graphical models (or inferring relevant properties of those) from experimental data. The ideal candidate should have a good mathematical background (in graph theory, dynamical systems, machine learning) and speak and write fluent English. The salary is very competitive and the candidate can start immediately. Please contact Nikos Vlassis <nikos.vlassis(a)gmail.com> or <nikolaos.vlassis(a)uni.lu> for more details.

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Postdoc Positions Metabolomic Systems Biology
by R.Breitling 06 Jun '11

06 Jun '11

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head of bioinformatics solutions (job opening at BASF Plant Science)
by koen.bruynseels＠cropdesign.com 06 Jun '11

06 Jun '11

Job opening: Head of Bioinformatics solutions, BASF Plant Science Location: Ghent The main purpose of the function is to implement an overall strategy, and to plan and to coordinate resources, services and people in the global IT/Bioinformatics subfunction ?Bioinformatics Solutions?. He/she is ultimately responsible for the delivery of Bioinformatics services for all internal and external partners of the function.

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Call for papers PRIB 2011
by Thomas Abeel 02 Jun '11

02 Jun '11

International Conference on Pattern Recognition in Bioinformatics Delft, The Netherlands, November 2-4 2011 http://prib2011.org/ Call for Papers - UPDATED DEADLINE Please distributed to interested people In modern biology, high-throughput measurement devices allow scientists to gather data at unprecedented rates. To make sense of this data, computational biologists and system biologists construct quantitative models, many of which depend on pattern recognition techniques. Their application is challenging due to the large volumes of data and background information, noisy measurements and target outputs, highly diverse data types etc. The Pattern Recognition in Bioinformatics conference series aims to bring together researchers, practitioners and students from around the world to present and discuss recent developments and applications of pattern recognition methods in current bioinformatics, computational biology and systems biology. Authors are invited to submit full papers in relevant research areas, which include but are not limited to: · Bio-sequence analysis · Gene and protein expression analysis · Biomarker discovery · Protein structure and interaction prediction · Motifs and signal detection · Metabolic modelling and analysis · Systems and synthetic biology · Pathway and network analysis · Immuno- and chemo-informatics · Evolution and phylogeny · Bio-imaging · Biological databases, integration and visualisation Pattern recognition techniques of interest include: · Statistical, syntactic and structural pattern recognition · Datamining and data-based modeling · Evolutionary computation · Bayesian networks and graphical models · Neural networks and fuzzy systems Invited speakers · Yves Moreau, Bioinformatics Research Group, K.U.Leuven, Belgium. · Mark Girolami, Department of Statistical Science, University College London. · Pierre Baldi, Institute of Genomics and Bioinformatics, University of California, Irvine. · Alvis Brazma, European Bioinformatics Institute. · Berend Snel, Department of Biology, Utrecht University. Submission, Publication and Grants Papers should be submitted electronically through the conference website. Springer will publish accepted papers in its Lecture Notes in Bioinformatics series (LNBI). A limited number of Ph.D. student travel grants will be made available; please keep an eye on the website for more information. Important dates · Paper submission June 26, 2011 · Author notification July 25, 2011 · Camera-ready paper August 24, 2011 · Poster abstract submission October 2, 2011 Organisation General chairs Marcel Reinders, Delft University of Technology Dick de Ridder, Delft University of Technology Programme chairs Marco Loog, Delft University of Technology Lodewyk Wessels, Netherlands Cancer Institute Publicity chairs David Tax, Delft University of Technology Thomas Abeel, Ghent University Invited speaker chairs Jeroen de Ridder, Delft University of Technology Manuele Bicego, University of Verona Steering committee Ray Acharya, Pennsylvania State University Madhu Chetty, Monash University Tom Heskes, Radboud University Nijmegen Visakan Kadirkamanathan, University of Sheffield Elena Marchiori, Radboud University Nijmegen Jagath Rajapakse, Nanyang Technological University Guido Sanguinetti, University of Sheffield

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Stanford Center for Cancer Systems Biology Postdoc Position Available
by Olivier Gevaert 01 Jun '11

01 Jun '11

Job Location: School of Medicine Job Category: Research Date Posted: June 1, 2011 Postdoctoral Fellow in Computational Biology We are seeking a postdoctoral fellow in computational biology to study the self-renewal properties of cancer in our NIH funded Center for Cancer Systems Biology (ccsb.stanford.edu) The successful candidate will work in a multidisciplinary environment to develop and apply new computational algorithms that integrate diverse high-throughput molecular cancer datasets, including microarray gene expression, sequencing and proteomics data. The candidate will be expected to reconstruct transcriptional and signaling networks of cancer and identify likely drivers of disease progression. S/he will work closely with experimental molecular biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments. Candidates must have a strong quantitative background, with a PhD in computational biology, or related work in engineering, computer science, statistics, or mathematics. Strong knowledge in machine learning and programming (C/C++. MATLAB, or R) are required. Knowledge in graph theory, survival analysis, and sparse regression are desirable. Excellent verbal and written communication skills are essential. Interested candidates should e-mail a cover letter describing research experience, accomplishments and research interests, CV and 3 references to Professor Sylvia Plevritis, sylvia.plevritis(a)stanford.edu, with the subject line: Postdoctoral Fellowship in Computational Biology -- Anita Samantaray, MPH anitas1(a)stanford.edu Program Manager Center for Cancer Systems Biology Stanford University School of Medicine Phone: 650.725.6070 http://ccsb.stanford.edu

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