Hi all, Several very interesting postdoc positions are available at MIT, in Manolis Kellis' group. Best, Stein Aerts Begin forwarded message:
From: Manolis Kellis <manoli@MIT.EDU> Date: Sun 8 Nov 2009 15:04:27 GMT+01:00 To: Stein Aerts <Stein.Aerts@med.kuleuven.be> Subject: Announcing postdoc positions in MIT Computational Biology group Reply-To: "manoli@MIT.EDU" <manoli@MIT.EDU>
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Subject: Postdoctoral positions available in MIT Computational Biology group
The MIT Computational Biology group (compbio.mit.edu) is seeking highly motivated postdocs to undertake exciting new projects in computational and regulatory genomics. We seek applicants with a strong background in machine learning, algorithm development, statistical methods, and their applications to computational biology, gene regulation, epigenomics, and integration of large- scale biological datasets.
Our group is part of the MIT Computer Science and Artificial Intelligence Lab, and of the Broad Institute of MIT and Harvard, leading to a truly interdisciplinary environment. We have numerous ongoing collaborations with experimental and biological groups, and are part of the NIH ENCODE, modENCODE, and Epigenome Roadmap collaborative projects where our group plays a leadership role in data analysis and integration.
For more information about the group, please visit: http://compbio.mit.edu/
Applicants are sought for the following ongoing projects:
(1) Integrative analysis of genomic and epigenomic datasets in the human genome, in the context of the NIH Epigenome Roadmap and ENCODE projects. Goal is to use many chromatin marks in multiple cell types in order to discover and interpret chromatin states, understand their biological roles, and their dynamics in differentiation and disease (NIH RC1-HG005334, NIH U54-HG004570).
(2) Integrative analysis of the Drosophila modENCODE project. Goal is to systematically understand the functional elements encoded in the fly genome, and the regulatory logic defining transcription factor binding and chromatin domains, and guiding developmental programs (NIH RC2-HG005639, NIH U54-HG004555).
(3) Regulatory genomics in human and fly genomes. Goal is to discover regulatory motifs, enhancers, and cis-regulatory modules in the human and fly genomes, and develop predictive models of gene regulation using comparative genomics and large-scale experimental datasets (NIH R01-HG004037).
(4) Role of non-coding RNAs in chromatin. Goal is to understand the role of small and large non-coding RNAs in directing, establishing, and maintaining chromatin modifications in human embryonic stem cells and during differentiation and cancer (Collaborative work with Ron Hart at Rutgers and John Rinn at HMS).
(5) Additional projects are available in comparative genomics, genome interpretation, microRNA regulation, phylogenomics, image analysis, RNA structure, and applicants are welcome to define their own projects within the context of ongoing activities in the group (NSF 0644282, NIH U01-HG004264, NSF 0936234).
For more information about open positions, please visit: http://compbio.mit.edu/positions.html or contact Prof. Manolis Kellis directly at <manoli@mit.edu>.
Prof. Dr. Stein Aerts Laboratory of Computational Biology Center for Human Genetics University of Leuven Herestraat 49, P.O. Box 602 3000 Leuven, Belgium Tel +32 16 330132 Mobile +32 486 659003 http://med.kuleuven.be/lcb/