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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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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
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! The interaction between terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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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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screens. Nature Reviews Molecular and Cell Biology 2023. 24, 477-494. Awwad, S.W., Doyle, C., Coulthard, J., Bader, A.S., Gueorguieva, N., Lam, S., Gupta, V., Belotserkovskaya, R., Tran, T-A
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placement during your third year. Standard Programme Requirements Applications are invited from students with backgrounds in Bioscience, Biochemistry, Microbiology, Biotechnology, Environmental Science, Plant
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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learning, etc.) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering-related discipline. Strong programming ability in