69 assistant-and-professor-and-computer-and-science-and-data Fellowship positions in Uk
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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
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data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we anticipate submission of a
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Research Centre (NBRC), Queen’s Medical Centre, University of Nottingham. This is an exciting opportunity to join the MR&PI team led by Professor Dorothee Auer (NBRC MR&PI theme lead), Professor Robert
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About the Role Working as part of a multi-disciplinary team, you will provide health psychology support to the delivery of research activity for the NIHR-funded Programme Grant for Applied Research
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alongside Facilitator UK Delivery Leads Professor Karen Watchman and Dr Kathryn Mackay. The role holder will report to Professor Karen Watchman. Information about the Facilitator, and other, IMPACT models can
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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required to work on Campus at least once a week to ensure the role supports appropriate skill training and career development. Informal enquiries can be sent to Professor Catrin Evans, catrin.evans
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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information about this position in advance of submitting your application. Equality, diversity and inclusion are central to the ethos in the School of Engineering. We give full consideration to applicants who
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or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding