20 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" Postdoctoral positions at KINGS COLLEGE LONDON
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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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20 Jan 2026 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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bioelectrochemistry Experience on computational modelling of iointerfaces Evidence of independent motivation in the formulation, planning and implementation of research activities Wet Chemistry lab work with analytical
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About us Working as part of a world-class academic team based in the Department of Forensic and Neurodevelopmental Sciences at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN
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11 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom
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About us: King’s Telecoms Group has been part of the global ecosystem which designed and deployed telecoms technology, from 2G to 5G, and now 6G. King’s Telecoms Group has become a flagship hub of
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11 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Juridical sciences Psychological sciences Researcher Profile Recognised Researcher (R2) Established Researcher
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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About us The post is based in the Centre for Society and Mental Health, a cross-Faculty initiative between the Faculty of Social Science and Public Policy (SSPP) and the Institute of Psychiatry
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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic