394 Computer-Science-"https:"-"https:"-"https:"-"HFML-FELIX" Postdoctoral positions in United Kingdom
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- Xi'an Jiaotong - Liverpool University
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
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will hold a PhD (or be close to completion) in Genetics, Biostatistics, Computational Biology, or a related discipline, together with relevant post-qualification research experience. You will have
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to a variety of social and sports clubs About the Role This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation
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, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related subject. Preference will be given to candidates with strong
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, History, Sociology, Anthropology, Philosophy, Computer Science, and Science and Technology Studies. Their proposed research will address one or more of the Thematic Programmes and Clusters of the LCAL, as
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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for Oral Clinical Research (COCR). They will also promote research, enhance the profile of Barts Life Sciences, and provide advice, documentation, and training in data analysis for colleagues. About You The
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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hold a relevant PhD/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Computer Science, or a closely related subject (preference will be given to those