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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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Role type : Continuing; 0.8 to 1 FTE (negotiable) Faculty : Faculty of Medicine, Dentistry & Health Sciences Department/School : Collaborative Centre for Genomic Cancer Medicine Salary : Level C
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analysis tools Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We
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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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, driving cutting-edge research at the intersection of metabolomics, human health, and toxicology. This exciting role offers the opportunity to contribute to major EU-funded research programmes, including
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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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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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, embedding of project outcomes and with the central IMPACT team located at the University of Birmingham. IMPACT has been funded by the ESRC and the Health Foundation to improve social care outcomes by