Keck Graduate Institute of Applied Life Sciences Postdoctoral Fellow The Keck Graduate Institute of Applied Life Sciences is seeking a highlycreative and motivated postdoctoral research fellow to participate inthe following research area:
Development of Bayesian network models and machine learning methods for protein structure prediction. This project is part of a collaborative effort to develop a community resource to enable the emerging science of structural genomics. Candidates should have a Ph.D. in computational biology, computer science, machine learning, theoretical physics, applied mathematics, or a similar quantitative field and a strong interest in molecular biology. KGI is located 35 miles east of Los Angeles, at the foot of the SanGabriel Mountains. Its campus is contiguous with those of the otherClaremont Colleges, which together with surrounding educationalinstitutions in Southern California provide a rich intellectual andcultural environment. The position forms part of a collaborativeresearch project between KGI, UCL, UCSD and the Burnham Institute. The successful candidate will be based at KGI and work in closecollaboration with the Gatsby Unit for Computational Neuroscience atUniversity College London. Prospective candidates should apply with a cover letter and CV, andask for at least two letters of recommendation to be sent to Dr. DavidWild at: Keck Graduate Institute, 535 Watson Drive, Claremont, CA91711. Email: [EMAIL PROTECTED]
