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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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biology, or similar field Experience analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also
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Collaboration. The primary focus of this post will be the development of computational pipelines for the automated extraction and discovery of image-derived phenotypes (IDPs) across multiple imaging modalities
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these forwards in a rigorous, efficient and timely manner. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for adapting existing and
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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
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, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including Harvard, Yale, UC San Francisco [UCSF], and the New
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scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for adapting existing and developing new scientific techniques and experimental protocols, as
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analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also have: Experience with AI and machine
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to understand how striated muscle is regulated during health, disease and stress-response contexts. The successful candidate will lead computational lab analysis work across multiple projects, largely focussing
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. Proficiency in Python and/or machine learning applications for data analysis. Ability to work independently and manage multiple research activities. Experience contributing to academic publications and