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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
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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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Type of award Scholarship Managing department School of Natural Sciences Value The School of Natural Sciences are committed to building a diverse community of students and staff that fully reflects
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focus on solid dosage forms and 3D printed drug products. The research will integrate advanced imaging, computational modelling, and pharmaceutical sciences to improve the resolution, reproducibility, and
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Supervisors: Dr Jun Jiang (Reader), Mechanical Engineering Department Deadline for application: 30/10/2025. Early submission is encouraged. Funding mechanisms: Fully funded by Imperial College, IDLA
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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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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
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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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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