38 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at King's College London
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-term health conditions, health economists, statisticians and policymakers. The post-holder will work as part of a team on REFUEL-MS, which is a 5.5-year programme of research jointly funded by the MS
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the center's collaborative projects with industry partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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an enthusiastic, proactive, and collaborative biologist to join Prof Witney’s Group in the School of Biomedical Engineering & Imaging Sciences, King’s College London. You will join a dynamic and successful
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, Biomedical Sciences, Biochemistry, Immunology, Microbiology, Molecular biology) to support a multidisciplinary research programme investigating various aspects of antiviral innate immunity. The successful
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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), based within the Department of War Studies at King’s College London, is seeking a Research Fellow for its new Net Assessment Programme. They will be engaged on a new multi-year research project funded by
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time and workload Proven scientific writing and speaking skills Evidence of good problem-solving skills Desirable criteria Experience with in vivo recordings in rodents and computational analysis in
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: Essential criteria MA in digital humanities, screen, media or heritage studies, information science or other relevant subject area, OR demonstrable research and professional experience with digital approaches