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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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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
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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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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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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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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient