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Field
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networks (CNNs) and generative adversarial networks (GANs) have gained significant attention for large eddy simulation (LES) subgrid-scale (SGS) modeling in turbulent reacting flows due to their ability
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Research Assistant/Associate on utilising high-performance computing for hybrid Reynolds Averaged Navier-Stokes-Large Eddy Simulations of turbulent premixed flame-wall interaction. You will join a research
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environment, microstructure, and electro-chemical potential will be determined via in-situ imaging techniques. The data will then be used to furnish a Comsol crevice corrosion simulation model, with the aim
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event forecasting, optimization of multiple buildings/assets with integrated photovoltaics, wind turbines, battery storage, hydrogen, and HVAC. The project involves modelling and simulation and will
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details for two academic referees. A copy of your highest degree certificate and transcript. A copy of your English language qualification, where applicable. Short-listed applicants will be required
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thorough understanding of the material’s response to impact. The project: There is a need, therefore, to produce material models that can be used in computer simulations of ballistic events, and which
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simulations. New detection techniques will be developed by accounting for the interaction of multi-faults on the effectiveness of fault detection. The experimental and simulation validation will be applied
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of this PhD is to use cutting-edge quantum (DFT, DFTB) and classical (machine learnt force fields) atomistic simulations of nanoparticles of relevant size, composition, support, to develop advanced models
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academic referees. A copy of your highest degree certificate and transcript. A copy of your English language qualification, where applicable. Short-listed applicants will be required to attend an interview
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scenarios in simulated and real-world health data. Extend time-dependent AUC methodology for joint model validation. Perform simulation studies to compare the proposed method to existing approaches