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be an advantage. Experience of applying OpenFOAM and High Performance Computing (HPC) in the context of CFD would be beneficial. How to apply Interested applicants should contact Prof Ling Qian
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should have (or about to receive) a degree in engineering, physics or applied mathematics that is at least a UK 2:1 honours grade or its international equivalents. Previous experience with coding and CFD
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Dynamics (CFD) techniques with mesoscale meteorological simulation techniques. A solid background in either CFD (use of OpenFOAM) or meteorological simulations (use of WRF model) is strongly recommended. All
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researcher with a strong interest in computational fluid dynamics (CFD), to join a diverse and inclusive research group. The Advanced Numerical Methods (ANM) Group specialises in cutting-edge research and
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Computational Fluid Dynamics (CFD) model of Origen’s system, coupled with advanced AI techniques, with the aim of further developing and optimising its efficiency. In particular, the project aims to model
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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage
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and accurate simulation of complex explosion events in large and geometrically complex environments. The student will use existing CFD techniques in OpenFOAM to conduct deflagration analyses and apply
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This position is an integral part of an innovative project aimed at creating a Computational Fluid Dynamics(CFD) model to study cavitating flows and their noise propagation. The project's goal is to
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, based on a population balance model, will be developed for the prediction of crystal size distribution, which will be integrated with a Computational Fluid Dynamics (CFD) software (e.g. ANSYS Fluent
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thermodynamic processes in future engines with net zero fuels Advanced numerical (CFD) and experimental techniques for the study of reacting flows. Following completion of a taught MRes in Future Propulsion in