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About the role Applications are invited for a full-time Research Fellow position to work with Dr Philip Pearce. The post is funded by a UKRI Future Leaders Fellowship entitled “Multiscale modelling
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to improve patient outcomes. Our multidisciplinary team brings together expertise in neuroscience, clinical neurology, and computational modelling to translate cutting-edge research into real-world impact. As
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participants. Apply AI techniques to data generated to create computational models that help us understand multisensory perception and integration. Lead research efforts and publish findings in peer-reviewed
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. The emulator will be constrained by physical principles and capable of producing output fields near-identical to those of a large-scale ocean circulation model, at a fraction of the computational cost. Research
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supervise workshops with participants. Apply AI techniques to data generated to create computational models that help us understand multisensory perception and integration. Lead research efforts and publish
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United Kingdom Application Deadline 15 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is essential, as is experience with Bayesian
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learning, deep learning and graph neural networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is
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full aircraft engine, running on the UK’s supercomputing services. There will be both engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with