569 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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: an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Awards for UK, EU, International
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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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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 engineering and
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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 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