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extremes (Aragão et al., Nat comms 2018). The Global Carbon Budget (GCB) is the most comprehensive source of data and information about regional-to-global scale carbon fluxes; it is updated annually and
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extremes (Aragao et al., Nat comms 2018). The Global Carbon Budget (GCB) is the most comprehensive source of data and information about regional-to-global scale carbon fluxes; it is updated annually and
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link: https://www.exeter.ac.uk/research/ref2021/ Projects Available
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Science and Services (TESS) lab (https://tess-lab.org/ ) in the Department of Geography, Streatham Campus, Exeter. Funded by the Saudi NEOM project, eligible students would receive Home tuition fees, a
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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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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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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stakeholder and delivering information to prospective students and their families. With a good knowledge of the issues surrounding progression to higher education, you will also need to be flexible, adaptable
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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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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth