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. Seminal work by Wong and Gribble (2012) demonstrated that passive proprioceptive training—where the limb is moved by a robot—can induce significant improvements in active motor performance. This implies
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of deep learning to large datasets. • To research, develop and maintain the Institute’s High Performance Computer (HPC) cluster and multi-petabyte data storage systems which form the core of the
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This exciting opportunity is based within the Composites Research Group at Faculty of Engineering which conducts cutting edge research in advanced manufacturing of high-performance composites Vision
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efficient interpretation of LiDAR data. The project will make use of high-performance computing facilities to support large-scale simulations and ensemble-based uncertainty quantification. A key innovation of
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the University’s apprenticeships provision. You will be accountable for the accuracy, quality and timeliness of all apprenticeship data, including statutory returns, funding reconciliation and performance reporting
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detection, vaccine deployment, community intervention and clinical trials. Deliver high quality software to perform such applications, which can be integrated into the EIT Pathogena Platform by the Technology
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Deadline 23 Apr 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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To conduct research on Generative Artificial Intelligence (AI) in Visual Computing, Natural Language Processing and other areas, and contribute to the overall research performance of the School and University
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for the management, and performance monitoring of these agreements. Your work will also support safe, compliant, and high‑quality operational environments for students, staff, and visitors. You will collaborate
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), to ensure timely and successful delivery of research programmes within RADER. Manage the overall operation of the NNUF RADER facility on a day-to-day basis. Be the primary point of contact for NNUF RADER and