567 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"IFM" PhD positions in United Kingdom
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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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or international equivalent, in an appropriate subject. A further qualification such as an MRes is advantageous. · Interest/experience in mixed methods including qualitative research and data science
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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
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the wind/renewable energy training and research elements of the CDT programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of economics and
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, or research assistant job) - Solid experience in machine learning and AI (essential) - Experience with imaging data analysis - A collaborative approach to doing science and willingness to help other lab members
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to support early diagnosis and monitoring of conditions such as Alzheimer’s or Parkinson’s disease. The student on this project will gain interdisciplinary training in mathematics, data science, and