14 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" PhD positions at University of Surrey in United Kingdom
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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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October 2026. Later start dates may be possible, please contact Dr Chatterjee once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . The successful candidate
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Quantum materials underpin key emerging technologies in quantum computation, sensing, and low-energy electronics (e.g. topological insulators, topological superconductors, spin liquids, superfluid
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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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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-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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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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start dates may be possible, please contact Dr Simon Hadfield once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We are looking for a highly motivated
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applications where labelled data is scarce, enabling models to learn from the data itself without relying on extensive human annotation. Supervisors: Dr Donya Hajializadeh, Dr Fernando Madrazo-Aguirre, Dr Sara