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"Coupled Magnetic Hybrids for Advanced Quantum Technologies", a collaboration with the City University of Hong Kong (CUHK). The aim of the role is to explore how nanomagnetic elements in proximity structures
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. Ranked 10th in the Complete University Guide 2025, it has an active programme of internationally recognised research in Pure Mathematics, Applied Mathematics, and Statistics and Probability. There is a
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group with responsibility for carrying out research on the spin-resolved electronic structures of quantum materials, such as topological quantum materials and unconventional magnetic systems, making use
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) Location: Edinburgh Campus Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator
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to develop and improve current simulation methods (quantum and classical) to study such systems. The overarching aim of the post-doctoral position is to develop and apply computational approaches that enable
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members of the Mathematical and Theoretical Physics Group, contributing to the UKRI Future Leaders Fellowship project "Quantum Symmetries in Diverse Dimensions." The objectives of the project include
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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The Adaptive and Intelligent Robotics Lab (AIRL) in the Department of Computing at Imperial College London is seeking a talented Research Associate (post-doc) or Research Assistant (pre-doc) to work
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic