• Postdoctoral Fellow in Machine Learning and Design…

    Harvard University (Cambridge, MA)


    Details

     

    Title Postdoctoral Fellow in Machine Learning and Design of Biological Systems

     

    School Faculty of Arts and Sciences

     

    Department/Area Science Division

    Position Description

    A postdoctoral position is currently available in the laboratory of Dr. Mor Nitzan at Harvard University’s Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and/or computational biology.

     

    Research will focus on both top-down and bottom-up mapping of local interactions between relatively simple dynamic entities and their emergent complex behavior. We study these questions in various theoretical and biological settings, such as cellular interactions in tissues using single cell sequencing data.

     

    The initial appointment period is funded for one year.

    Basic Qualifications

    Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology.

    Additional Qualifications

    Previous research experience related to biology is an advantage but not required.

    Special Instructions

    To apply, please send a CV, a statement of research experience and interests (two pages maximum), and the names and contact for three references to [email protected].

    Contact Information

    Dr. Mor Nitzan

     

    Arzy Nitzan Lab

    Northwest Building,

    52 Oxford St., #365.30 Cambridge,

    MA 02138

    USA

    Contact Email [email protected]

     

    Equal Opportunity Employer

     

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

     

    Minimum Number of References Required

     

    Maximum Number of References Allowed

     

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