12 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "University of Exeter" positions
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Project details: Supervisors Dr Andy Cunliffe , Oppenheimer Associate Professor of Geospatial Ecology, University of Exeter Professor Ted Feldpausch , Professor of Terrestrial Ecology and Global
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mechanisms. The student will benefit from interdisciplinary training across three leading institutions: University of Exeter (Dr Robert Ellis) in bivalve physiology; Natural History Museum/Cefas (Dr David Bass
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(pioneers in single-molecule optical sensing) and Dr Garry Codling (CREWW, University of Exeter; expert in PFAS and water industry partnerships). The project offers training in nanophotonics, surface
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/ ). This NIHR funded post is available from March 2026 through to the end of July 2026. Global CFaH is an international and interdisciplinary project, led by the Universities of Exeter (Prof Nigel Unwin) and West
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of the Great Western Four alliance of the University of Bath, University of Bristol, Cardiff University and the University of Exeter plus five Research Organisation partners: British Antarctic Survey, British
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supervised by Dr Katherine Ruth and Dr Gareth Hawkes and is based at the University of Exeter in the internationally-recognised Genetics of Complex Traits Team, a dynamic, supportive team of more than 30
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Inc., France (https://www.inocess.com/?page_id=1370&lang=en ). The industrial partner will provide co-supervision, access to relevant data, offer opportunities for field testing of the proposed
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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Inc., France (https://www.inocess.com/?page_id=1370&lang=en ). The industrial partner will provide co-supervision, access to relevant data, offer opportunities for field testing of the proposed
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difference and/or finite element coupled process models validated against laboratory data to understand the fundamental behaviour of EK-ISL under varying geological conditions, including heterogeneity, dual