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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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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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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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, disease and stress-response contexts. The successful candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres
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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
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candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic
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project management, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for preparing working theories and analysing qualitative and/or quantitative data from a variety of
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-antigen triggers of regulatory T cells in the context of Multiple Sclerosis (MS). This position is part of a large multidisciplinary collaboration between the University of Oxford, University of Cambridge