Computational/Analytic Postdoctoral Researchers at the University of Southern California
The University of Southern California is seeking two or more Computational/Analytic postdoctoral researchers with experience and strong computational skills in one or more of the following areas: machine learning, computer vision, agent-based simulation, graphical processing unit (GPU) programming, Bayesian statistics and bioinformatics, population genomics, and quantiative genomics. The large multidisciplinary team is supported by an NHGRI Center of Excellence in Genomic Science and multiple NIMH and NSF grants to study genetic variation in population and community contexts.
The postdocs will be jointly advised by Simon Tavaré, Gary Chen, Paul Marjoram and Sergey Nuzhdin, and will closely collaborate with several other faculty and approximately 30 other team members, including computational and experimental scientists.
The successful applicants may need to optimize software, develop machine learning algorithms, develop conceptual or simulation models, and parallelize these on CPUs or GPUs.
The team is part of a program in Molecular and Computational Biology at USC and the Keck School of Medicine of USC, in the heart of Los Angeles, California. To apply, send a statement of interest, CV, and names of referees to Paul Marjoram (pmarjora@usc.edu) and Sergey Nuzhdin (snuzhdin@usc.edu) by February 15, 2013.