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particular focus on helping build machine learning models that can help humans learn faster and more effectively, and/or make better decisions. They will independently manage their academic and associated
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, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and
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start in June 2026, for a period of 3 years. Successful candidates will join thriving research teams within the Institute for Computational Cosmology (ICC) at Durham. The ICC is a leading group in
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modelling. Imaging
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of eukaryotic genomes. The Karam Teixeira group is interested in dissecting the molecular mechanisms underlying the co-evolution of transposable elements and hosts. It uses Drosophila as a model to study
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. At present there is specific interest in advanced 3D perception techniques such as geometric foundation models, implicit neural rendering (NeRF, Gaussian Splatting) as well as semantic mapping. Our research
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of Sheffield for the second year to continue this ambitious programme of research. About the project This research seeks to develop AI tools that help wargamers understand how opponents perceive and interpret
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United Kingdom Application Deadline 5 Jan 2026 - 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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learning phase-picking models, combined with advanced phase association, probabilistic earthquake location, and relative relocation methods, to significantly enhance earthquake detection levels and location