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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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: The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse
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studentship in Synthetic andPhysical Organic Chemistry available from October 2026, to work under the supervision of Prof. Paul McGonigal and Dr Alyssa-Jennifer Avestro in the Department of Chemistry at
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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challenge. This project aims to increase the technology readiness level of microwave NDE by addressing fundamental laboratory challenges and transferring techniques to practical use. The project involves
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investigate new strategies to protect and regenerate nerve cells after SCI by combining molecular biology, pharmacology, and gene therapy in translational models of central nervous system repair. The work will
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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‘Campus’, please select ‘Loughborough’ and select the ‘Programme’ as ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number ‘FP-HZ-2025’ in your application under
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degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered
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-on experience in both laboratory and computational approaches, equipping you with a strong skill set for a career in evolutionary genetics, genomics, or bioinformatics. Person Specification This project is ideal