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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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an account with our recruitment system (if you have not already) and apply online. Please notice that if you have not received any news from us 1 month after the closing date you should consider
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aligned with the objectives of the CCGE. These include cancer risk estimation and the investigation of the genetic and clinical epidemiology for genetically susceptible individuals. This role is ideally
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and functional/molecular studies. Whilst the focus of this recruitment drive is to find a candidate with genomics expertise, enquiries would also be welcome from molecular biologists interested in using