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Computing (HPC) and the Lattice-Boltzmann Method (LBM), a mesoscopic computational method, to model flows over a variety of engineered surfaces. You will investigate how engineered surfaces can delay flow
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analysing multi-modal data. Use Anthropic and/or OpenAI APIs. Perform large-scale training and testing on an HPC server. Disseminate the research results by writing papers and presenting your work
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, utilising high-performance computing (HPC) servers and data from large-scale facilities such as Diamond Light Source and ISIS Neutron and Muon Source. For informal enquiries please contact Dr Jay Warnett
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methods), Linux/HPC workflows, or multi‑physics simulation. Applicants should have (or expect to achieve) a strong degree, i.e., at least a 2.1 honours degree or a master’s (or international equivalent), in
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-order modelling and high-fidelity simulations of turbulent reacting flows. You will have the opportunity of using cutting-edge facilities such as Imperial College HPC facilities. You will have access