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recruitment links: For information relating to the research project please contact the lead Supervisor via: kj.vangroenigen@exeter.ac.uk
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delivered by Wessex Water. Useful recruitment links: For information relating to the research project please contact the lead Supervisor via: a.k.murray@exeter.ac.uk
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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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(synoptic scale) forecasting (< 5 days) to mid-century scenario-based climate predictions (time horizon 2030-2050). The project will explore the merging of data sources to estimate future energy requirements
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. as result of unemployment or media reporting). The successful student will be closely aligned with Public Health Wales and will link RTSSS data with routinely collected data held within the SAIL
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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
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, the construction of the geological model remains a significant challenge. The geological model is key because it constrains the volumes and data used when inferring the mineral resources, which in turn inform
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bone cells toward regeneration. These will be characterised using AFM and rheology, followed by immune–osteogenic co-culture studies to evaluate mechanotransductive signalling. The resulting data will
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the tuition fees and stipend at typical UKRI rates. The appointed doctoral student will lead research to gather qualitative insights into patient experiences of prehabilitation. The new insights will be linked
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and rigorous assessment design, the integration of digital and information systems perspectives where appropriate, and meaningful student support. The postholder will also contribute to programme