472 computational-physics "https:" "https:" "https:" "https:" "Caltech" Postdoctoral research jobs in United Kingdom
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funded by the Leverhulme will collaborate with the PDRA on parts of the project. The candidate should be able to provide evidence of expertise in visual psychophysics and should have strong computing
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of the atmosphere for research purposes. An excellent knowledge of atmospheric physics. A strong experience in a scientific computing and data visualisation language. The ability to work independently and as part of
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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, psychology, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance
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leader across a range of sport and physical activity domains. We are proudly ranked 8th and10th in the UK, in the Times and the Complete University Guide 2025, respectively, and 10th in the 2021 UK
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as part of an CRUK Discovery Programme Foundation Award in close collaboration with Dr Robert Köchl between the Kennedy Institute of Rheumatology (KIR) and Kings College London (KCL). The focus
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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materials. Academic Qualifications and Skills Required: PhD in Physics with a strong grasp on Optics and Lasers. Demonstrated record of research activity. Strong experimental skill with a background in some
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for