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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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Applications are invited for the post of Research Fellow in the School of Chemistry. The research project is part of an exciting multi-disciplinary collaboration involving academia and industry
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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of digital health innovation within an experienced multidisciplinary team. We are looking for a candidate with strong expertise in medical imaging and AI applications in healthcare. This is a full-time post
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the outcomes for patients, and better evaluate the success of medical interventions across a broad range of disease areas. We are seeking a highly motivated post-foundation medically-qualified researcher to join
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technologies, solve complex problems, and drive meaningful advancements within the Digital Screening and Artificial Intelligence research. The post is offered on a full time (38.5 hours per week), fixed term
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friendly and highly experienced team undertaking a qualitative research and educational development project funded by the Burdett Trust for Nursing, Women’s Health Grant Programme. The project seeks
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Applications are invited for the above Research Associate/Fellow post based at the University of Nottingham working with Professor Craig Vear on his project Digital Scores – investigating
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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manager and the manager of your substantive post, if you are already undertaking a secondment role. Generous funding is available for travel, computing equipment, and personal development. If successful