517 computational-physics-superconductor Postdoctoral research jobs in United Kingdom
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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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us to have enriching careers, matched by an excellent work-life balance. About The Role This is a full-time, fixed-term role until 31st December 2027 . The Department of Physics at Swansea University
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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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). Outstanding organisational and record-keeping skills and a capacity to work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer
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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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. The Department delivers undergraduate and postgraduate programmes in Sociology, Criminology and Social Work and supports the delivery of a faculty research methods programme as part of the collaborative NINEDTP