102 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at KINGS COLLEGE LONDON
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of plasma/cells from human blood as part of the mTOR Pathway diseases node (https://rd-research.org.uk/node/mtor-pathway-diseases/) . The project is funded by the Medical Research Council and Innovate UK
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probability theory. A good starting point to get familiar with the topic is the paper ‘Sharp threshold for the ballisticity of the random walk on the exclusion process’ ( https://arxiv.org/abs/2409.02096 in
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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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and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms . About The Role This is an exciting opportunity to work on cardio-immunology within King’s
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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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in a computational model of paranoia may be influenced by THC administration or in support-seeking participants under sober conditions. The postholder will collect a range of psychopharmacology
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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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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 Recently re-founded, the Department of Engineering is rapidly expanding into a world-class research and teaching department. Research currently focuses on robotics, telecommunications and
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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