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, simulation and dissemination for ISAC RAN technologies involving user equipment in monostatic, bistatic and multistatic sensing configurations. Depending on your expertise and project priorities, the research
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
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Rolls-Royce engines. The project will involve both code development and simulation of engine systems. You will be working closely with engineers at Rolls-Royce and with academics, postdoctoral research
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simulation of engine systems. You will be working closely with engineers at Rolls-Royce and with academics, postdoctoral research fellows and PhD students at the other University project partners. The contract