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mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
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mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
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The ProbAI Hub is a £8.5M research hub funded by EPSRC to develop better understanding of and new methods in AI. This will be achieved by research at the interface of AI and Mathematics
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will join our Foundations of Computation (FOX) Group, whose research topics range from the theoretical mathematical foundations that underpin computer science to their applications in real world contexts
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OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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All applicants should have, or expect to obtain, a bachelor’s degree in mathematics or statistics, or in a subject containing a substantial mathematical component. The minimum entry requirement is a 2:1
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with MEng / MSc degree in Engineering, Mathematics, Physics or Computer Science. The scholarship is primarily open to UK nationals; EU, Commonwealth or USA nationals may also be considered. Supervisor
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of engineering, technology and mathematics. We have a word wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary