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|Postdoctoral positions are available in Vahedi Lab in the Department of Genetics at the Perelman School of Medicine, University of Pennsylvania, one of the top 5 medical research universities in the nation.
The primary research focus of the Vahedi lab will be on developing novel computational methods for the integration of high-dimensional genomics data sets within the context of immune system. Representative publications include:
Super-enhancers delineate disease-associated regulatory nodes in T cells. Vahedi G, et al. Nature. 2015 Apr 23;520(7548):558-62. doi: 10.1038/nature14154. Epub 2015 Feb 16.
STATs shape the active enhancer landscape of T cell populations. Vahedi G, et al. Cell. 2012 Nov 21;151(5):981-93. doi: 10.1016/j.cell.2012.09.044.
|A qualified candidate will be a strongly motivated individual with following qualifications:
Ph.D. degree in either physical or computational sciences with an emphasis in machine learning.
Solid programming skills (Python/Perl, Java, C/C++, R, SQL)
Computational genomics experience (high throughput sequence analysis).
Excellent spoken and written communication and interaction skills.
Publications in English in relevant areas of research in peer-reviewed journals.
Qualified candidates should send their CV to email@example.com