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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists of the Great Western Four alliance of the University of Bath, University of Bristol, Cardiff University and...
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with an external receiver for real-time monitoring of DA concentrations. Wireless performance will be optimised to ensure stable operation in various test environments, such as DA solutions with complex
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hardware with wireless communication and complex analytical software. Mussel behaviour is not binary (open/closed) but highly dynamic, with subtle patterns indicating different stressors. Training machine
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the two primary supervisors’ expertise in behavioural field biology with engineering and data science approaches to develop and test tools for behavioural research and ecological monitoring. The Cornish
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software development, and time management. The candidate will regularly visit the MetOffice for scientific exchanges and data acquisition. Useful recruitment links: For information relating to the research
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
: Algorithm Validation and Use Case Demonstration (Months 27–36): This WP will first develop an integrated hardware–software testbed to systematically validate the performance of proposed solutions under
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Communications plc, who will offer access to simulation tools, as well as technical and scientific support, thereby ensuring alignment with practical GNSS testing requirements. Please direct project specific
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. Key findings will be tested in additional species. The student will influence developing research directions based on initial screens. The student will learn gene-editing, molecular biology
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. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress
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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how