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vessel, the fully turbulent flow channel, the towing tank and the combined wind, wave and current tank. For more information about the School of Engineering and our research, please click here . See our
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-class/high 2:1 degree in civil or geotechnical engineering. A relevant master’s degree and/or employment experience will be an advantage. English language requirements: Applicants must meet the minimum
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stresses. Based on the experimental data, a semi-empirical model to be developed to assess insulation degradation and identify failure signatures that can inform future predictive asset management strategies
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radiation, such as alpha particles emitted by TAT, remain largely unexplored. Emerging data suggest that some cancer cells within the alpha particle emission path only receive sub-lethal levels of DNA damage
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of Edinburgh and will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Ivan Rungger, National
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the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
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of the Developmental Science Research Group within the Department of Psychology. More information about the project and Prof Boothroyd’s team: lgboothroyd.webspace.durham.ac.uk Candidate characteristics Essential
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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: Candidates should hold a UK (or international equivalent) first or upper-second Bachelor’s degree. Candidates with backgrounds in electrical and electronic engineering, physics, computer science and
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and