69 assistant-professor-computer-science-data Fellowship research jobs in United Kingdom
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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at 0.5fte for the final six months of the post. Across these two projects, the Research Fellow will collect objective and subjective sleep data from children with neurogenetic syndromes and develop and
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as opportunities allow. We are looking for a post-doctoral researcher to join a research project which brings the Active Inference perspective to the study of human computer interaction. This requires
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The University of Nottingham is seeking to appoint an exceptional and motivated Senior Research Fellow to join the Digital Cancer Screening Research Group, led by Professor Yan Chen, within
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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Grade E63.2 - £42,008 per annum pro rata Location: John Radcliffe Hospital, Nuffield Department of Surgical Sciences Contract type: Fixed term for 12 months, with the potential for extension Hours
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. The post holder will join the Chemistry groups led by Prof. Peter Slater, Professor Paul Anderson, and Dr. Phoebe Allan, https://www.birmingham.ac.uk/staff/profiles/chemistry/anderson-paul.aspx https
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Chemistry groups led by Prof. Peter Slater, Professor Paul Anderson, and Dr. Phoebe Allan, https://www.birmingham.ac.uk/staff/profiles/chemistry/anderson-paul.aspx https://www.birmingham.ac.uk/staff/profiles
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible