About the Project
This project will look to develop a flexible modelling framework to incorporate many potential sources of evidence in suggesting and evaluating mechanisms of action. This could potentially build upon work of Papathomas et al. (2012) and related efforts in producing a flexible Bayesian approach for the analysis if GWAS data. The evaluation of potential mechanisms may then feed back into the detection and prioritization of association loci through, e.g., specification of prior probabilities.
Applicants should have a good first degree in mathematics, statistics or another discipline (e.g., biology, computer science), with substantial statistical component. A masters-level degree is an advantage.
Further details of the application procedure, including contact details for the Postgraduate Officer, are available at http://tinyurl.com/StAndStatsPhD
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