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temperature stability and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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. The successful candidate will be expected to: Conduct PhD research Contribute to the analysis and reporting into issues pertaining to air power and related issues as a member of the FASI team. Assist in
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testing and computational modelling. You'll become part of a diverse, multidisciplinary team that prioritises equity, diversity, and inclusion, gaining specialist expertise in hydrogen-material interactions
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generating coherent text, mimicking human-like conversations, and completing complex language tasks such as translation and summarization. However, despite their powerful generative capabilities, these models
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diseases. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. The research will be conducted using state-of-the-art equipment
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. Another key area of focus is integrating blockchain consensus protocols with FL protocols. The goal is to streamline communication and computation by reducing overlaps and redundancies. This can help
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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should always be via the online system of the University of Edinburgh. Closing date: Tue, 30/09/2025 - 12:00 Principal Supervisor: Dr Sebastian Neira Castillo Assistant Supervisor: Dr Paul Judge
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of the largest Statistics departments in the world, with a thriving PhD programme and a long-established reputation for research activity of the highest quality, enhancing both the PhD student experience and the
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Start date: 1 October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris