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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 with epilepsy across multiple NHS
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findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and
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rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website. What next: Further
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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