37 computer-science-quantum-"https:"-"https:"-"https:" Postdoctoral positions at KINGS COLLEGE LONDON
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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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18 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Language sciences Literature Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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position within a Research Infrastructure? No Offer Description About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and
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About us We are seeking a highly motivated postdoctoral research associate to join the group of Dr Saidul Islam at the Department of Chemistry, King’s College London, as part of our programme
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of (quantum and classical) integrability, one position emphasising the former and the other the latter. Some numerical skills is also expected. The post is offered at a competitive salary (spine points 31-35
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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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About Us We seek to appoint a Postdoctoral Research Associate in Immunology to join the lab of Professor Patricia Barral. The post will be based at the Centre for Inflammation Biology and Cancer
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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
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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