146 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Nottingham
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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deliver a programme of outreach and engagement work. You will create detailed, item-level catalogues for the collections working from box lists. You will also help promote the collections you catalogue
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Assistance Programme and Counselling Service - 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, events and activities and state of the art sports facilities. A permanent post for
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nationals only) and research costs) three-year full-time PhD available to start on the 1st October 2025. The overall theme of this PhD programme is improving clinical assessment and research access
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a variety of machine learning algorithms trained on these data and, most crucially, will develop and implement techniques for computing the uncertainty in the prediction. The algorithms developed in
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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 the School of Medicine. The group is internationally recognised for its work in the application of...
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strategies. The University of Nottingham is leading a large programme grant ‘Public Health Intervention Responsive Studies Team’, funded by the NIHR until 2027. PHIRST-LIGHT is a collaboration between the
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical