Postdoctoral fellowship at the Ludmer Centre, Montreal

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    Celia Greenwood

    Ludmer Centre for Neuroinformatics and Mental Health, Montreal, QC
    & McGill University, Montreal, QC Canada

    The recently-launched Ludmer Centre for Neuroinformatics and Mental Health focuses
    on understanding the genetic and epigenetic influences that shape brain development and
    the risk for mental disorders. This Centre spans the Lady Davis Research
    Institute/Institut de Recherches Lady Davis, the Douglas Mental Health University
    Institute/Douglas Institut Universitaire en Santé Mentale, and the Montreal Neurological
    Institute/Institut Neurologique de Montréal, all affiliated with McGill University,
    Montreal, Quebec, Canada.

    Our team focuses on methods development and data analysis of high-dimensional data,
    including brain imaging, genetics, genomics and epigenetics. Ongoing studies have
    collected longitudinal and cross-sectional data on many well-characterized samples from
    a range of tissues, and offer unique opportunities for studies of genotype–epigenotype–
    phenotype relations. An exciting opportunity exists for a Postdoctoral Fellow to work on
    statistical methods for the analysis of DNA methylation data derived from both arrays
    and bisulphite sequencing. This position involves the development of statistical methods
    for identifying methylation patterns in different tissues and cell types, and optimizing the
    choice of genomic regions for targeted bisulphite sequencing.

    As a postdoctoral fellow, you will be able to interact with researchers, students and other
    postdoctoral fellows working in statistical genetics and genetic epidemiology both at the
    Ludmer Institute, the Lady Davis Institute, and at McGill University. Local seminars and
    journal clubs within Montreal will provide excellent opportunities for enlarging your
    knowledge in other areas of high-throughput genetics, genomics and statistics.
    Qualifications: A recent PhD in Statistics, Biostatistics, Computer Science,
    Computational Biology, or a related field as long as the candidate has a strong foundation
    in theoretical statistics. Very good programming skills are essential. Experience and
    knowledge in human genetics would be an asset but is not required. We are looking for a
    highly motivated individual with a desire to develop an independent research agenda.
    To apply: send a curriculum vitae, relevant publications, a statement outlining your
    research interests, and contact information for three referees to Dr. Celia Greenwood,
    Senior Scientist, Lady Davis Institute for Medical Research, c/o
    Applications will be considered until the position is filled. This position is funded by a
    CIHR operating grant.

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