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(LLMs), design AI system architectures, analyze data related to LLM capabilities, and integrate physiological measurements within the infrastructure. Additionally, they will evaluate the impact of
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team of seven investigators at Royal Holloway, where this post will be based, and RHUL/NPL joint PhD students. Royal Holloway is a partner in the Oxford-led QCI3 Quantum Hub. We are collaborating with
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team of seven investigators at Royal Holloway, where this post will be based, and RHUL/NPL joint PhD students. Royal Holloway is a partner in the Oxford-led QCI3 Quantum Hub. We are collaborating with
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the environmental burden of antimicrobial resistance, posing risks to animal and human health. The position offers exciting research prospects at the multidisciplinary interface of quantitative epidemiology, food
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. Applications are invited for a Research Fellow position in
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application is developing risk prediction models to determine whether and when to stop a class of drugs (renin-angiotensin system inhibitors) in people with advanced chronic kidney disease. The position is in
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to conduct cost effectiveness, cost-benefit, and value for money analysis of the SFP. The role will involve compiling a set of resources and creating new learning materials. The successful candidate must have