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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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., blockchains), AI safety, and privacy, with potential impact across domains such as finance and healthcare. Applicants are expected to have an MSc degree in computer science or other majors related
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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Collaboration and Bradford District Care NHS Foundation Trust. The PhD student will be based in the Medicines Optimisation group within the School of Pharmacy, Optometry and Medical Sciences at the University
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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the programme code: 8030F · select ‘PhD Chemical Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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(y.chen.22@bham.ac.uk ). Funding: The project is available through MIBTP funding program. For more details, please see: https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/ychen References: Shropshire
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Application deadline: 28/11/2025 Research theme: Soft Matter and Biophysics How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD is fully funded and open to applications from home
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Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia