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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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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
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, 2022. The key responsibilities and duties are: undertaking basic research, formulating research questions and pursuing them using mathematical modelling and numerical simulations making use of standard
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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