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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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analysis (e.g. economics, statistics, mathematical modelling). They will also have completed an MSc in one of these areas. For the position of Research Assistant, applicants should have a Masters in Health
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and experience of RANS and LES Understanding and experience in using high performance computing and programming using Message-Passing Interface (MPI) Understanding and experience in mathematical
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to develop predictive approaches for future scenarios. The skills, qualifications and experience required: obtained (or close to obtaining) a PhD in a scientific, mathematical, engineering or computing subject