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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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. This cohort of students will investigate aspects of EAF steelmaking and product development using the latest suite of characterisation equipment, processing lines and digital tools, aided by
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from the Defence Science and Technology Laboratory (Dstl). Award value The Studentship covers: Stipend: at UKRI rate + London Weighting (£22,780 for 2025/26 academic year) Tuition fees: UK Home Fees for
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for the project. This could be through a module on your programme or by independent learning. Support will be provided to gain confidence and experience in GIS to be able to complete the project. Support: Students
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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or international conferences. The successful applicant will have a keen enthusiasm for research in fluid mechanics, with a background in Engineering, Mathematics or a related discipline. Depending on experience and
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collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer science
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from the UK Health Security Agency and real-world outbreaks. This interdisciplinary project integrates microbiology, molecular biology, bioinformatics, and public health, offering hands-on training and
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project would suit students with a background in electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering