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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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(UK or worldwide) Research Summary: We are advancing a range of projects focused on chalcogen bonding across synthetic, catalytic, analytical, and computational chemistry. Chalcogen bonding is an
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of Computer Science Postgraduate Research Administration Team at: ps-cs-pgr@exmail.nottingham.ac.uk You may also contact prospective supervisors directly.
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necessary. The successful applicant will work within a vibrant and multidisciplinary aerospace team in the College of Engineering and Physical Sciences at the University of Birmingham, and will have
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subjects of this PhD programme including process intensification and green chemistry. Number of awards: 1 Start date: 1st October 2026 Award duration: 4 years Sponsor: EPSRC Supervisors Professor Kamelia
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Salary Funding covers tuition fees (approx £5-8k per year) and a tax free living allowance for 3 years (approx £22-£24k per year if studying full time). A funded PhD position is available to work on a project exploring the impact of indoor and outdoor learning environments on children’s language...
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environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs
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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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computational enzymology to uncover mechanistic principles that guide future enzyme design. The project offers comprehensive training in biocatalysis, enzyme design and engineering, organic synthesis, structural
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second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace or mechanical engineering background. Experience of computational fluid dynamics