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Field
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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 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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: Continued development of existing mathematical models of corrosion/ageing. Development of models of reactive transport through polymer foams. Development of a model of competitive solubility when a polymer is
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Research theme: Applied Mathematics, Materials This 3.5 year PhD project is funded by the MADSIM Project (School of Natural Sciences growth fund). Funding is for Home students and EU students with
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PhD studentship in the Groups of “Mathematics Applied to Biology” and “Numerical Analysis and Scientific Computing” at the University of Sussex (UK), with the collaboration of the “Group of
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Type of award Studentship Managing department Department of Mathematics Value This fully-funded studentship includes: Tuition fees at home or international rate Annual maintenance stipend equivalent
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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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mathematical and experimental study of mode-2 internal solitary waves (ISWs) is proposed. ISWs travel along density interfaces within stably stratified fluids. They are composed of a single or very few pulses
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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