701 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" PhD positions in United Kingdom
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interview process. RCUK eligibility: No Eligibility: Essential criteria: First-class or upper second-class Honours degree (or equivalent) in social science related discipline. A Masters degree in social
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adapt quickly to new methods and technologies will be highly valued. How to apply Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research
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Description The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related
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the deadline. This PhD project addresses a fundamental challenge at the interface of biomaterials science, sustainability, and biofabrication: transforming underutilised animal-derived waste into high-value
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. Reporting to Peter Visscher. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics, econometrics or another relevant field
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on the following link: https://www.postgraduate.study.cam.ac.uk/ Funding- Full 3-year funding covering maintenance fees at £21,805 per annum and the University Composition Fee as well as Research Training Support
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and to study on this programme. How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research
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contact the School of Computer Science Postgraduate Research Administration Team at: ps-cs-pgr@exmail.nottingham.ac.uk You may also contact prospective supervisors directly. View All Vacancies
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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply