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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using
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(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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lay person who has been selected by their bishop to train for ordained ministry in the Church of England. Duties include: officiating at weekly services, occasional preaching, assisting with
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-motivated approach to ongoing personal training and development is therefore vital. The role will be outward facing to a wide variety of groups and expected to interact effectively with users, both in
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. Insights gained will inform the development of novel therapeutic strategies for HFpEF and broader cardiometabolic disease. Training & Development The successful candidate will receive broad training in
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, develop business cases and more. At the 6-month point, students progress onto their interdisciplinary PhD research project, supervised jointly by two academics from two research groups. Usually, supervisors
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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to cancer biology, as well as a strong commitment of developing and using new tools to address cutting-edge questions in these fields. This studentship is embedded within the piRNA team, consisting of both
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management of complex relationships and projects, particularly those focused on global biodiversity and development challenges. As a key member of WCMC’s Policy team, the successful candidate will be