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understands and enjoys challenges in atmospheric and climate dynamics, weather prediction and predictability. You will take a lead on the deployment and evaluation of a new generation of machine learning-based
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa, and we are seeking a machine
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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understanding the dynamics here is critical for predicting ocean energy transfer and biogeochemical processes. You will work with a cutting-edge observational dataset from a January 2025 expedition that used
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For informal enquiries, please contact David Rand (Professor) d.a.rand@warwick.ac.uk This post is part of an exciting project developed by Professor David Rand and Dr Marine Fontaine in
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is a collaborative, friendly, and dynamic department based in an award-winning building in Oxford. We host regular events and talks with well-known guest speakers – all of which are open to staff
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The School is a collaborative, friendly, and dynamic department based in an award-winning building in Oxford. We host regular events and talks with well-known guest speakers – all of which are open to staff
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fluid dynamics, advanced instrumentation, turbomachinery and thermal management. The Centre is also host to the Rolls-Royce University Technology Centre for Aero Systems Design, Integration & Performance
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successful applicant will focus on expanding the capacity of the Centre for Water Systems’ existing methodologies and models to simulate urban runoff dynamic and water quality, analyse the propagations