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Post doctoral Research Fellow in Spatial Biostatistics We seek a post-doctoral fellow for an NIH-funded research project to analyze spatio-temporal latent structure models. This position will involve the development and application of new statistical approaches to model the underlying spatial structural components in disease risk and their dynamic variation. Bayesian spatial mixture models will be the foundation from which to build space-time extensions. The ideal candidate will have a Ph.D. in statistics or biostatistics. Publication in peer-reviewed journals and presentations at scientific and professional meetings are expected and encouraged. Desired skills include proficiency in statistical computing, and knowledge of spatial statistics, and Bayesian models/MCMC techniques. Familiarity with GIS would be a plus. The position holder will report directly to Professor Andrew Lawson, Division of Biostatistics & Epidemiology, Department of Medicine. This is a 22 month appointment. The salary will be on the range $45,000 - $55,000. Initial informal enquiries can be made directly to Andrew Lawson at [log in to unmask] <mailto:[log in to unmask]>. Formal applications can be made via the MUSC web site at www.jobs.musc.edu/applicnts/Central <http://www.jobs.musc.edu/applicnts/Central>? .under the Division of Biostatistics & Epidemiology.