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PhD project (e.g., mathematics/statistics, engineering, quantitative ecology/biology). A Masters qualification in a relevant subject area will be advantageous. This studentship is only available
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for this population. This fully-funded PhD studentship forms part of the wider PD-LIFE programme, which consists of nine linked PhD projects across five universities. The student will join this broader initiative and
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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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the University College London (UCL) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project will focus on the development of an AI-enhanced design framework for novel
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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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biotechnology. The studentship is delivered in collaboration with the UK Defence Science and Technology Laboratory (Dstl) and will include a research placement at Dstl, providing unique experience in applying
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, outlining your motivation for applying to this project. On the ‘Choosing a programme’ page, please select Department of Forensic and Neurodevelopmental Sciences Research MPhil/PhD Full-time. In the Funding
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively