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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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Rolls-Royce and forms part of a UK-wide collaborative effort involving leading universities and research centres. This network will provide opportunities for knowledge exchange, access to complementary
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. The successful candidate will join a national network of graphite, nuclear materials and decommissioning researchers, with opportunities for training, collaboration, industrial engagement and UK/international
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Earth Sciences and Energy Transition Geological storage of CO₂ is recognised as a key technology for achieving net-zero greenhouse gas emissions. The UK possesses almost one-third of Europe's
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£23,805 per year (tax-free) for 3.5 years and overseas tuition fees. Duties and Responsibilities: The responsibilities include defining, with support from the supervisor, the research questions, creating
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-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in
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networks of proteins associated with calcium signalling pathways, and traditional genetic studies have identified mutants in components of these pathways. However, genetic redundancy is often observed and
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operators links classical observables (functions on phase space) with quantum operators. Microlocal analysis also provides essential tools to rigorously define, compute, and analyse resonances, which describe
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per year, subject to annual increases. About the Project (Background & Methodology) Autonomous systems such as drone fleets, mobile robots, and sensor networks increasingly use federated learning (FL
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to bioscience. The successful candidate will receive interdisciplinary training in frontier AI model training, explainable AI, knowledge graphs, genomics and open-source scientific software. This project is