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Nederlands
2 Positions available- Postdoc in Next-Generation Sequencing Bioinformatics (Last updated Feb 2012)
1. Postdoc Next-Generation Sequencing BioinformaticsWhere: Genomics Coordination Center, University Medical Center Groningen, The Netherlands Position We are looking for a postdoc to take the bioinformatics lead in exciting, new next-generation sequencing projects, such as the sequencing of 750 Dutch individuals (“Genome of the Netherlands project, BBMRI-NL), and to contribute to innovative analysis methods, high impact publications on variation, dynamic software infrastructures, and new diagnostic tools for the next generation of medical care. Organization You will be part of a growing team of skilled bioinformaticians led by Dr. Morris Swertz embedded in leading genetics and bioinformatics research departments of >45 researchers (Prof. Cisca Wijmenga, Prof. Ritsert Jansen, >15 recent publications in Nature journals). We offer you access to a state-of-the-art next-generation sequencing (NGS) facility, an innovative environment, a broad range of human and model organism labs, and collaborations with major international and national research groups. You will have the opportunity to make work visits to these labs. Candidate The ideal candidate is a motivated PhD graduate, with experience and a background in bioinformatics, genetics, molecular biology and/or biotechnology. You are just as excited as we are to explore next-generation sequencing data and to embark on ‘TB scale’ bioinformatics analyses. You have an excellent track record, a good command of the English language, and a growing bioinformatics toolbox with statistical methods, knowledge of public tools, personal scripts, etc. Conditions We offer a full-time contract for a period of 3 to 5 years and a starting salary € 3052-3279 gross per month (depending on your qualifications/experience, Dutch UMC scale 10-11). Interested? Please send your application, including your personal motivation, examples of your work, and CV to Dr. M.A. Swertz (m.a.swertz@rug.nl). More information
http://www.bbmriwiki.nl ________________________________________________________________________________________________
2. PhD bursary positionNext-generation analysis of diseases: identifying human disease pathways by integrating genome informationThe Department of Genetics is part of the University Medical Center Groningen (UMCG) and is involved in research into multiple complex diseases. We have contributed to the identification of genetic variants that cause type 1 diabetes, rheumatoid arthitis, celiac disease, ulcerative colitis, Crohn’s disease. We collaborate extensively with the Groningen Bioinformatics Centre, working on the development and application of novel approaches to identify genetic variants and their functional consequences.The Department of Genetics is part of the University Medical Center Groningen (UMCG) and is involved in research into multiple complex diseases. We have contributed to the identification of genetic variants that cause type 1 diabetes, rheumatoid arthitis, celiac disease, ulcerative colitis, Crohn’s disease. We collaborate extensively with the Groningen Bioinformatics Centre, working on the development and application of novel approaches to identify genetic variants and their functional consequences. Background Research in life-sciences is changing rapidly. With the recent availability of high-throughput techniques (such as DNA and RNA microarray chips) and massive parallel sequencing, we now generate gigabytes of data per day. Through these techniques for multiple common diseases like diabetes, rheumatoid arthritis, celiac disease and inflammatory bowel disease we have identified several genetic variants that causes these diseases. But what are the functions of these genes and how are they related? And more importantly, why do they eventually lead to disease? We can now start answering these questions by comibining genotype, expression, proteomics and methylation data for over 2,000 individuals. This allows us to identify relationships between these genetic variants and effects on gene and protein expression. We expect this information will permit us to discover the functional ‘downstream’ effects of these genetic variants which is likely to result in much better insight in these diseases. We offer a challenging PhD research project for a period of 4 years and we require a talented and motivated person to carry out this research. You must have an MSc degree (soon) in Biology or Medical Biology, Biochemistry, Mathematics, Physics, Bioinformatics or Computer Science, or in a closely related field. You will work in an international team with several post-docs, PhD students and technicians from the Netherlands, China, Russia, Brazil, Portugal, Indonesia, Hungary, Poland, Sweden and Lebanon. Responsibilities - Design, develop, implement, and maintain new algorithms, applications and infrastructure components (primarily using Java and occasionally using R) - Analysis of genomics, proteomics and metabolomics datasets - Summarize and report key analytical findings in both oral and written form at work meetings, international scientific conferences and scientific publications Requirements - MSc in medical biology (or equivalent), mathematics, physics, bioinformatics or computer science. The candidate is highly motivated and has excellent mathematical, statistical and computer science skills. - Experience with advanced statistics, biology or biochemistry - Strong knowledge in developing and debugging in Java - Excellent oral and written communication skills. Bonus - Experience with handling large (>1 Terabyte) databases (both unstructured and structured) Contact person Dr. Lude Franke, tel. +31 (0)50 3617100, email Positions will remain open until suitable candidates have been found. ________________________________________________________________________________________________
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