13 programming-"https:"-"https:"-"https:"-"IFM" PhD positions at University of Surrey
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Ginossar once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . How to apply Applications should be submitted via the Physics PhD programme page. In place of
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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need to meet the minimum entry requirements for our PhD programme . Candidate profile A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics
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-leading research programme investigating key nuclear reactions for both fundamental physics and applications. The aim of the project is to establish new methods to measure properties of Auger electron
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requirements for our PhD programme. Essential criteria: A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics, computer science, physics or engineering
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2026. Later start dates may be possible, please contact Dr Eran Ginossar once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. Desired experience
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This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme
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data to plan and maintain national digital infrastructure. Inaccurate mapping increases planning costs, project timelines and disruption to its operations and communities. You will be co-supervised by
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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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information . Starting in October 2026. You will need to meet the minimum entry requirements for our PhD programme . This project will allow the student to acquire highly transferable skills in probabilistic