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desirable. This highly collaborative project will involve multiple research visits to academic partners within the UK and abroad up to 30 consecutive days and up to 90 days per annum for joint research and
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data), indices (Multiple Deprivation, Community Needs, London Civic Strength) and mapping tools (Understory; Emergency Planning Tool). Making sense of these resources, their strengths, weaknesses, and
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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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working full-time. This role offers an exciting opportunity to join the Population Data Science group at Swansea University and work on various cancer related projects aligned to the Cancer Research
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-day activity in own area that those with protected characteristics are treated equally and fairly Evidence of multiple peer-reviewed scientific publications, with preference to publications in the field
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To independently develop research objectives and grants in Women’s Health aligned to Centre thematic projects or proposals for own or joint research including research funding acting as a PI, as required. To develop
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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prototypes. Top-down 4D characterisation of enamel structural evolution using macro- using multiple techniques at macro-, micro- and nano- scale resolution in macro- and micro-fluidics setups to observe enamel
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multiple deadlines. Please ensure you read the Job Description and Person Specification for full details of this role. The University of Exeter We are a member of the prestigious Russell Group of research