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individually, make a real difference. The role Applications are invited for a Research Fellow position to support the design of a predictive health management (PHM) module for a novel steer-by-wire system aimed
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fertiliser and nutrient management Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University
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perivascular cells of the neurovascular unit/perivascular niche, and on brainvascular heterogeneity in development, health and disease: The main aims are: i) to understand the cellular and molecular
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity
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poroelastic cartilage material properties and the lubricating film formed between contacting surfaces facilitates this phenomenon. This is important in understanding joint health and the adverse effects
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(including Christmas) – that’s 42 days a year! Generous pension scheme plus life assurance – the University contributes 14.5% of salary. Health and Wellbeing: Discounted staff membership options at The Edge
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health challenges through innovative software solutions. Our research focuses on inferring the causal processes that underlie diseases in diverse populations. Our analytical processes have historically
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/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff
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and translation. You will be based in the School of Electronics and Computer Science (ECS), working alongside an interdisciplinary team led by Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk), in
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity