719 computer-science-intern-"https:" "https:" "https:" "https:" "University of St" PhD positions in United Kingdom
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qualification. Background knowledge and experience in engineering and computer science disciplines and in areas such as CFD post-processing (OpenFOAM), wind turbine renewable energy systems, big data management
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(both quantitative and qualitative methods), and gain experience in collaborative research of national and international significance. With the guidance and mentorship of experienced researchers
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-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary working in our next generation of researchers
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are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description Offshore solar energy is an emerging and highly promising technology for
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This project will develop advanced computational and experimental tools to support the safe, efficient, and scalable manufacture of materials critical to UK and European security, with a particular
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Description This exciting PhD project offers the opportunity to work at the forefront of biomedical engineering, developing the next-generation technologies to revolutionise long-term heart monitoring. You will
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will need to meet the minimum entry requirements for our PhD programme . We welcome applicants from Computer Science, Games Technology, Digital Media, or related disciplines. You should have some of the
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Application deadline: 31/05/2026 Research theme: Catalysis, Synthesis, Chemistry How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students are eligible
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instruments, large-scale datasets, and an international research community. Training on neutron scattering techniques will be provided. The project is ideal for students who are interested in computational
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the professional, ethical, organisational and work-related challenges surrounding the adoption of AI technology for human selection and evaluation. The research is expected to adopt an interpretivist, social