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Full-time: 35 hours per week Fixed-term: available from 1st September 2025 – 31st August 2029 The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is
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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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Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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techniques to enhance personalized treatment. This role offers a unique opportunity to work on interdisciplinary projects, pushing the frontiers of personalized medicine and health management. In this project
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work closely with an expert multidisciplinary team that spans two faculties: Professor Nicola Ray and Dr Nelson Trujillo-Barreto from the School of Psychology (Faculty of Health and Education), and
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, and electronic health records (EHRs) – as well as creating novel, transparent, and explainable AI approaches. At grade 8 the candidate will also supervise other researchers. In this role, you will
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, and electronic health records (EHRs) – as well as creating novel, transparent, and explainable AI approaches. At grade 8 the candidate will also supervise other researchers. In this role, you will
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by custom (including Christmas) –that’s 42 days a year! Generous pension scheme plus life assurance. Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus
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. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Sport, Health and Exercise Sciences at the College of Health, Medicine and Life Sciences at Brunel