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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 discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
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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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This 4 year PhD is fully funded by the Atomic Weapons Establishment. The funding includes the EPSRC minimum stipend (£19,237 for 2024/25) plus a stipend top up of £5,000 per year. Only UK students are eligible to apply. This project aims to develop a measurement technology (pressure sensitive...
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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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useful insights towards efficient numerical approximation of broader classes of differential equations. The successful candidate will be part of the Geometry and Mathematical Physics group at Loughborough
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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to characterize physical processes such as particle settling, and liquid surface texture caused by surface tension effects. You will develop a mathematical model and perform numerical simulations to better
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, chemical and biotech industries. If you have a strong background in computational chemistry, physics, mathematics or a related area, then this is the project for you! With access to large collections