37 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at King's College London in United Kingdom
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. Bringing together perspectives from socio-legal studies, science and technology studies (STS), and philosophy our project will critically explore regulatory approaches and their unfolding impacts in three
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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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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professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six
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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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, 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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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