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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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’ Programme. The post will suit an ambitious researcher, who is interested in applying their skills in machine learning, high-dimensional statistics, and multi-omics and data integration. The primary role
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Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will
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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
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and excellent programming skills in a statistical language including STATA and/or R. Knowledge in at least one RDBMS (ideally, PostgreSQL or MySQL) would be essential for this post. Experience