25 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" Postdoctoral positions at King's College London in United Kingdom
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teaching hospitals, the department works closely with clinicians and other research groups to ensure strong translational impact. Its mission is to revolutionise healthcare through data‑driven modelling
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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-Body Physics with Ultracold Polar Molecules” involving experimental and theoretical groups at Durham University, Imperial College London, the University of Birmingham and King’s College London
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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-Body Physics with Ultracold Polar Molecules” involving experimental and theoretical groups at Durham University, Imperial College London, the University of Birmingham and King’s College London
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework
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at King’s College London (KCL), with major additional contributions from colleagues at Queen Mary University of London and University of Leeds, as well as other Departments within KCL. This role will be
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at King’s College London (KCL), with major additional contributions from colleagues at Queen Mary University of London and University of Leeds, as well as other Departments within KCL. This role will be
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will on-board and oversee data collection and analysis for an at-home acceptability study in participants with chronic lung disease. The successful candidate will ascertain the acceptability of using