562 computer-science-quantum-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering which conducts cutting edge research into high value product extraction from UK seaweeds
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environmental monitoring and in vivo/vitro diagnostics. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in Chemistry, Materials Science and
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relevant PhD programme via the King’s Apply portal ahead of the following application deadlines: Overseas fee status: 1 June 2026 Home fee status: 25 August 2026
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or computer science is desirable but not required. An interest in interdisciplinary communication and engagement as well as an understanding of how AI is currently deployed in science is welcomed but not essential.
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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centre for the development of medical imaging, particularly MRI. Eligibility You must be a university graduate or expecting to graduate with a 1st class degree in engineering, physics, computer science
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PhD Project: Advanced 3D-Printing of Responsive Biomaterial Devices Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre
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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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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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. The successful candidate will work closely with the project sponsors to deliver the outputs and will have access to a bespoke training programme. This project will deliver a model that integrates water quality to