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for developing and delivering courses at undergraduate and postgraduate levels Knowledge of thermodynamics, fluid mechanics, computational fluid dynamics and building services within the built environment context
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assets. The role offers room for professional development, and the chance to be part of a supportive and dynamic work environment. If you are looking for a challenge and want to make a tangible impact in
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Technology to further enhance our academic faculty. This is an exciting opportunity to join a dynamic community with a global outlook and a focus on academic excellence. The successful applicant will take an
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to Intelligent Transportation Systems (ITS) that can manage the diverse and dynamic environments of mixed urban-road users. Enhance the security of Federated Learning models to protect the federated learning
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data. A combination of Computational Fluid Dynamics models with machine learning (e.g. classification) and statistical techniques will be applied to characterise turbulence patterns experienced in wind