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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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appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowship at the Cicely Saunders Institute, King’s College London as part of an NIHR
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-leading benefits, including up to 26 weeks full maternity/adoption/shared parental leave and up to 6 weeks paternity leave. If you don’t have a PhD, your publications could form the basis of a PhD by
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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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your application has changed. To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Higher degree (MD, PhD or equivalent) in a
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. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field. The successful applicant will be a nationally recognised authority in molecular epidemiology and possess
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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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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
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to translational research activities in the laboratory, processing patient-derived samples and performing immunological and molecular assays. The role involves working within a multidisciplinary research team