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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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of Human, Social and Political Science. BSPP has an ambitious growth plan including launching an M.Phil in Digital Policy alongside an expanded M.Phil in Public Policy, and the development of a new PhD
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, a PhD (or have equivalent experience). Candidates with a background in environmental or related sciences are particularly encouraged to apply, but we will also consider those with other numerical
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their application materials which of the three projects they are most interested in working on. About you You are working toward a doctorate in a social science discipline (or a relevant data science field), have
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for an individual with a keen interest in cell biology to investigate the molecular mechanisms of Wnt signal transduction pathways and how these are disrupted in disease. The successful candidate will receive expert
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: Functional genomics and psychiatric epidemiology Clinical informatics and data harmonisation Co-production and participatory research methods Working within a cutting-edge UK-wide data infrastructure
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/ Associate in African heritage and geospatial data science. This is a fixed term appointment for 24 months. The post holder will work as part of the Mapping Africa's Endangered Archaeological Sites and
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 8 days ago
service capability platform; and providing advice to clients in the application of CPRD data in clinical research. The successful candidate will be educated to PhD level or equivalent experience in
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(PhD) training and mentorship. Vacancies are open to medically qualified trainees in any clinical discipline with an academic interest in cancer and who are based anywhere in the UK. All candidates
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply