532 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" PhD positions in United Kingdom
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. Mode of study: Full-time Start date: 1 October 2026 Additional Funding Information This project is fully funded for 3 years. Funding includes tuition fees, an annual tax-free maintenance allowance and a
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through the University’s Apply to Newcastle Portal Once registered select ‘Create Application’ then ‘Postgraduate’ Fill in your personal information and click on ‘Save & Next’ Use ‘Search Course
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language requirement (Faculty of Science equivalent: IELTS 6.5 overall and 6.0 in each component). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This four-year studentship is funded by
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differing aspect of this topic and could be reliant on both the interest of the student and supervisory team, plus what is found through the process of the research. Further information: Applicants should
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) Payment technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance. To discuss the
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the Birmingham MC40 cyclotron facility. This experimental campaign and the new data/insights will allow you to validate structural integrity models of ASSs linking meso- and macro-scales. During this PhD project
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date 1 October 2026 Additional Funding Information This PhD project is funded for four years by Big C with a contribution of £50,000 supported by the John & Pamela Salter Charitable Trust. Funding
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information. Starting in October 2026. Later start dates may be possible, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We
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that candidates possess expertise in some (but not all, or even most) of the following areas: Applied mathematics, control engineering, and numerical optimisation Machine learning and/or data science Computer
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information, please contact main supervisor; Prof Michael Greaney (michael.greaney@manchester.ac.uk ).