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Opportunity: Postdoctoral fellows in BIONFORMATICS and NETWORK BIOLOGY--Montreal (CA)
Submitted by edwin wang; posted on Thursday, January 20, 2005
INSTITUTION:
National Research Council, Biotechnology Research Institute, Montreal, Canada
QUALIFICATIONS:
A Ph.D. degree in biology, statistics, biostatistics, theoretical physics, math, computer science, bioinformatics or systems biology.
REQUIRED SKILLS:
(1) Strong programming skills in one or more of the following programming languages: Perl, Java, C/C++;
(2) A solid background in probability theory, statistics or biostatistics, statistical programming skills, stochastic modeling and Monte Carlo simulations, statistical pattern recognition;
(3) Knowledge of basic biology such as molecular biology, genetics, biochemistry, or genomics.
Candidates who have all these skills are preferred; however, we also consider those who have the skills (1) + (2), or the skills (1) + (3).
It would be an asset if the candidates have knowledge of and experience with: graph and network theory, microarray and proteomics data analysis, biological sequence analysis, gene ontology, biological networks, numerical analysis, simulation, control, and information theory, R programming, relational model and object-oriented model of databases.
DESCRIPTION:
National Research Council, Biotechnology Research Institute, Montreal, Canada is seeking postdoctoral fellows to do research in bioinformatics and network biology. The postdoctoral fellows are expected to involving in cancer genomics and plant genomics projects, conducting data mining/analysis and developing methods in computational and systems/network biology. Both projects are supported by a multi-disciplinary team of scientists with background ranging from omics, structural biology and modeling/drug design, imaging engineering, statistics, and computer science to bioinformatics. It is expected that the postdoctoral fellows will interact with these scientists, especially cancer or plant biologists.
The objectives of the study are to understand biological systems (such as signaling, gene regulation, protein interaction and metabolic networks and their dynamics in cancer progression or plant development) and develop practical applications (such as identifying human cancer markers or determining major genetic players that control fatty acid synthesis in plant metabolic networks) through mathematical and statistical analysis, numerical simulation and integrating large amount of internal and external experimental datasets including genomic, functional genomic, microarray, proteomic and metabolomic data. The postdoctoral fellows are expected to be able to develop new algorithms to make sense of these data.
HOW TO APPLY:
Contact for more information:
Dr. Edwin Wang
National Research Council
Biotechnology Research Institute
6100 Royalmount Ave.
Montreal, Quebec
Canada, H4P 2R2
e-mail: Edwin.Wang@cnrc-nrc.gc.ca
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