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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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studies of aluminium precipitate evolution during forming; or development of solid‑state joining techniques for dissimilar lightweight metals. Prior research experience in materials processing
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Prof S He Application Deadline: 29 September 2025 Details We invite applications for a fully funded four-year EPSRC iCASE PhD studentship at the University of Sheffield, offered in collaboration with SLB
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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University Technology Centre (UTC) in Manufacturing Technology and On-Wing Technology (https://www.nottingham.ac.uk/utc/index.aspx ) at the University of Nottingham. Having state-of-the-art purpose-built
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you will be providing key input into intervention development, and ultimately a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will be
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well as membrane embedded and encapsulated proteins. To do so, the student will develop methodologies for lipid vesicle formation, including bulk techniques such as water-in-oil emulsions, and microfluidic systems
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The Vice-Chancellor’s PhD Scholarships The University of West London is a forward-thinking University with an appetite for innovative, rigorous and impactful research. As part of its research
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-quality videos to guide the restoration and enhancement of distorted videos. Our goal is to develop a comprehensive framework for video restoration by tackling blind inverse problems with unsupervised
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students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables