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of Computer Science and Technology at the University of Cambridge, UK. This position is part of a broader effort to advance fundamental research in classical and quantum complexity theory. The successful candidate will
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and
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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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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
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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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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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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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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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week industry visit. - The Chancellor Masters and Scholars of The University of Cambridge (UCAM), 1 month, learning different culture models. - Universitá degli Studi di Torino (UNITO), 1 month
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information