13 computer-science "University of Cambridge " Fellowship positions in United Kingdom
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30 Apr 2024 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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, genomic data scientists who can work on large-scale genomic datasets with collaborators at the University of Cambridge, University of Witwatersrand and others globally. Our work leverages big data in
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” project’s ambitious objectives. You will work with Dr Jagmohan Chauhan and Dr Alex Weddell in ECS in collaboration with teams at the University of Cambridge, University of Manchester, Turing Institute, and
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just manner. You will be joining the global HyPT center to support the work programme on policies, economics, and markets. Your role will be to contribute to designing and assessing the effectiveness
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Department of Population Health, University of Oxford and the Department of Public Health and Primary Care at the University of Cambridge, as part of the Health Data Research UK’s ‘Molecules to Health Records
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findings and results obtained by the project collaborators at UCL, University of Cambridge and RHUL. Contribute to generating funding and writing up further research proposals. Main Duties
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8 Feb 2024 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Engineering Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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range of expertise assembled by the University of Cambridge, to develop an interactive, evidence-based tool to allow decision-makers to map, understand, and embark on the pathways towards sustainable
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``Perfect Recollection for Clearer Insight” project’s ambitious objectives. You will work with Dr Jagmohan Chauhan and Dr Alex Weddell in ECS in collaboration with teams at the University of Cambridge
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of Cambridge and the Turing Institute. At King’s, we are part of the Distributed Artificial Intelligence group at the Department of Informatics, a vibrant, open and collaborative research and learning