660 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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-performance materials across multiple sectors. The disruptive nature of recent advances in artificial intelligence (AI), robotics, and emerging quantum computing offers timely and exciting opportunities for PhD
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are looking for a highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Social Sciences, Behavioural Sciences, or Applied Health Sciences (e.g. Psychology, Education, Social
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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upper second-class undergraduate degree in any of Engineering, Materials Science, Computer Science, Physics, Mathematics. Excellent English written and spoken communication skills. It is desirable
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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College of Engineering, Design and Physical Sciences Institute of Energy Future Location: Brunel University of London, Uxbridge Campus Hours: Full time Contract Type: Fixed term for 36 months Brunel
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content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited for interview on an ongoing basis. How to Apply In
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, no reliable predictive tools presently exist to identify optimal drug–polymer combinations. This project addresses a critical gap in formulation science: the development of advanced polymers, tailored
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PhD student with a 1st class or 2:1 degree in the field of psychology, health sciences or related field. An MSc degree in a relevant area is desirable though not necessary. Applicants should demonstrate