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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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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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, 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
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to obtain, an MSc degree in Economics, Psychology, Mathematics, or a related field, but candidates with other quantitative backgrounds could be considered. The PhD project will require the post-holder to work
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and provides a stipend at the UKRI rate (£19,237 for 2024/25). The start date is 1st October 2024. This is an interdisciplinary project between the Department of Mathematics (Christiana Charalambous
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training opportunities in rigorous mathematical and data-driven modelling, with an interdisciplinary mindset. The initial foci are the 3D printing of metals, with Nottingham’s Centre for Additive
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The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy. Working