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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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pathways. You will also have the freedom to determine your own research approaches within this broad framework. You will have or be close to the completion of a PhD in statistical/computational genomics with
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completion of a project. You will hold a PhD degree (or near completion) in a discipline of direct relevance to computational genomics and/or statistical genetics, have the ability to deliver high-quality
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and should hold sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning. Informal enquiries may be addressed to Prof. Andrew Zisserman (email
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and collaborate in the preparation of research publications. To be considered you will hold or be close to completion of a PhD/DPhil in Demography, Sociology, Economics, Statistics, Public/Population