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  • Postdoc position in Dana-Farber Cancer Institute/Harvard School of Public Health

    The laboratory of X. Shirley Liu (http://liulab.dfci.harvard.edu/) invites applications for a postdoctoral position at the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and Harvard School of Public Health. Research in the Liu Lab focuses on genomics and bioinformatics of transcription and epigenetic gene regulation, with applications to cancer biology. Her laboratory developed a number of widely used algorithms for transcription factor motif finding (cited over 1,500 times), ChIP-chip/seq and DNase-seq data analysis (over 6,000 users). Shirley Liu published 92 papers, with 27 in Nature, Science or Cell series. She has good track record for mentoring, with one PhD student and five postdocs graduated from her lab taking on tenure track faculty positions (since she became a faculty in 2003).

    Requirement: Ideal applicant should have:
    1. PhD degree in physical sciences or related fields
    2. Strong programming skills: ((Python | Perl) & (C | C++ | Java) & R)
    3. Strong quantitative background (machine learning, Bayesian inference, etc.) or computational genomics experiences (DNA sequence analysis, microarray analysis, etc.)
    4. Good knowledge of molecular biology and genomics
    5. At least two (four if co-first author) first author papers written in English in previous area of research with submitted, accepted or published status in journals or conference proceedings
    6. Good spoken and written communication skills, mature and motivated.
    7. In addition, applicant must be able to visit Boston for potential interviews without visa application.


    How to Apply:
    Interested applicants should submit a letter of interest with a research proposal for a project (~2 pages) to be conducted during the postdoctoral training, CV, and three references (including name and contact information) to xsliu (At) jimmy (Dot) harvard (Dot) edu and with subject line “Postdoc application”.
    梦蝶

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