82 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at KINGS COLLEGE LONDON
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of structural and cellular biology research, which is part of the School of Basic & Biomedical Sciences . We sit in the Faculty of Life Sciences & Medicine , which has a broad spectrum of research
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at King's, which brings together a unique range of internationally recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About
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acquisition (primarily through individual semi-structured interviews), data analysis, and working with the research team and PPI co-researchers to interpret the data and disseminate findings. In addition
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position within a Research Infrastructure? No Offer Description About us Our contemporary Chemistry Department, based in the Faculty of Natural, Mathematical and Engineering Sciences, provides an exciting
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. The group’s research covers a broad spectrum of topics in both discrete and continuous probability. Recent areas of focus include random walks and percolation on strongly correlated structures, interacting
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of Exeter. The research in Photonics & Nanotechnology Group (https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and of novel
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About us This post represents a unique opportunity to join leaders from the AIMS-2-TRIALS research consortium (https://aims-2-trials.eu ) – the world’s largest autism research consortium
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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London and UK Catalysis Hub. The research in Photonics & Nanotechnology Group ( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models