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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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for research colleagues, the University has developed 3 levels of research role profiles . These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and
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intellectually to other projects developed in the Laboratory. Excellent oral and written English. Funding This four-year studentship will cover University fees and an index-linked stipend starting at £22,113
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for a pre-doctoral academic with an interest in primary care cancer diagnosis and will lead to skills development particularly in analysis of observational data and may lead to opportunities to employ
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
evidence-based interventions in elite sport environments. The successful candidate will be integrated in a programme of research involving the continuous collection of physiological and behavioural data via
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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laser diagnostics, analyse the results, prepare presentations, reports and papers, and interact with project partners. The skills, qualifications and experience required to perform the role are very good
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Description: This PhD project offers an exciting opportunity to co-develop and pilot a systems-based, interdisciplinary framework for circularity assessment in the water sector. Working closely with Anglian
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine