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School of Biomedical Engineering & Imaging Sciences, King’s College London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful
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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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documentation and compliance. They will work closely with clinical teams to identify eligible participants and ensure high-quality engagement with trial protocols. In parallel, the fellow will contribute
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and measurement of therapeutic response remain challenging. You will be specifically involved in two parallel studies making use of a portable, noninvasive muscle recording device in both home- and
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, cellular and structural biology, data science, and bioinformatics. About the role The Garnett Lab investigates molecular mechanisms that promote bacterial disease. In particular, biofilm formation and other
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. Our team focuses on understanding the immune system's role in autoimmune and inflammatory diseases and exploring immunotherapy to treat them. This exciting project involves characterising samples from a
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics