339 computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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Closing date: 15th January 2026 Background We are seeking applications for a part time research fellow (70%fte) to work on an NIHR Public Health Research Programme funded project for 12 months. The project
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Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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resource requirements and use resources effectively Contribute to the planning and organising of the research programme and/or specific research project Knowledge of the protected characteristics
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for a highly motivated and talented researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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computational fluid dynamics. This full-time role will be based at Exeter’s flagship Living Systems Institute. The successful applicant will develop new approaches to studying the behaviour of single-celled