796 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" scholarships in United Kingdom
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manufacturer and technology company. Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description As Deep Learning and
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will need to meet the minimum entry requirements for our PhD programme . We welcome applicants from Computer Science, Games Technology, Digital Media, or related disciplines. You should have some of the
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2026. Awards for the 2026 intake will be finalised by July 2026. Supported Areas for START Health Sciences Diagnostic Radiography: Radiography involves the controlled use of ionising radiation
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the wind/renewable energy training and research elements of the CDT programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of engineering and
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or mechanical engineering, specifically on end of life and life extension analysis for wind farms. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project
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the wind/renewable energy training and research elements of the CDT programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of economics and
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer Science
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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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Description This exciting PhD project offers the opportunity to work at the forefront of biomedical engineering, developing the next-generation technologies to revolutionise long-term heart monitoring. You will
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-second-class undergraduate degree (or a Master's degree) in Computer Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics