[Next-Generation Sequencing Book]
  • [Photo] Yves Moreau • August 31, 2010
    BACKGROUND:
    SymBioSys is a consortium of computational scientists and molecular biologists at the University of Leuven, Belgium focusing on how individual genomic variation leads to disease through cascading effects across biological networks (in specific types of constitutional disorders and leukemias). We develop innovative computational strategies for next-gen sequencing and biological network analysis, with demonstrated impact on actual biological breakthroughs.

    Related SymBioSys Publications:
    • Nitsch D. et. al. Network analysis of differential expression for the identification of disease-causing genes. PLoS One. 2009.
    • De Bie T. et al. Kernel-based data fusion for gene prioritization. Bioinformatics. 2007.
    • Lage K. et al. A human phenome-interactome network of protein complexes implicated in genetic disorders. Nat Biotechnol. 2007
    • Van Vooren S. et al. Mapping biomedical concepts onto the human genome by mining literature on chromosomal aberrations. Nucleic Acids Res. 2007
    • Aerts S. et al. Gene prioritization through genomic data fusion. Nat Biotechnol. 2006. Application
    URL link:
    http://phd.kuleuven.be/set/postdoc/voorstellen_departement?departement=50000516

    RESPONSIBILITIES

    The candidate will be a key player in a work package focused on network and kernel algorithms for the integration of heterogeneous biological data towards the identification of disease causing genes. Two research topics are available: (1) advanced kernel methods for the integration of heterogeneous biological data and (2) combining text mining with network analysis to develop a versatile search and discovery engine for disease genes. Those methods will be applied to specific genetic disorders in day-to-day collaboration with the human geneticists of the consortium.

    The candidate will collaborate closely with researchers across the consortium and contribute to the reporting of the project. Qualified candidates will be offered the opportunity to work semi-independently under the supervision of a senior investigator, mentor PhD students, and contribute to the acquisition of new funding.

    REQUIREMENTS

    • The ideal candidate holds a PhD relating to the development and application of machine learning or network analysis algorithms for the integration of biological data or the analysis of biological networks.
    • A three-year commitment is expected from the candidate.

    PREFERENCES

    • Expertise in kernel methods or text mining is a plus, as well as strong communication skills and interdisciplinarity.

    TERMS

    Start date is as early as practical.

    COMPENSATION

    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.

    LOCALE

    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.

    HOW TO APPLY:
    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. Ida Tassens – ida.tassens[at]esat.kuleuven.be.

    DEADLINE: October 15, 2010

Discussion forums: Opportunity: Postdoc, Computational Systems Biology Network & Kernel Algorithms @ SymBioSys--Leuven, Belgium

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