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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
such a promising technology, the centralised and resource-intensive nature of current LLMs conflicts with the constraints of aerial 6G networks in terms of limited computation, energy, and communication
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read the entry requirements for the potential programme you are applying for. To Apply for this project please click the 'Apply' button
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predictive performance, computational efficiency, and spatial resolution through algorithm optimisation, tuning, and refined covariates. Assess trade-offs between spatial resolution and other performance
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for the potential programme you are applying for.
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programme you are applying for. To Apply for this project please click on the following link - https://www.exeter.ac.uk/study/funding/award/?id=5733
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ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the ‘Apply’ button above.
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programme you are applying for. To Apply for this project please click on the ‘Apply’ button above.
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@exeter.ac.uk ) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click the 'Apply' button Funding Comment Payment of tuition fees
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enquiries to: Johan Wahlstrom (j.wahlstrom@exeter.ac.uk) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following
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to commercialise the outputs of the project. Project specific entry requirements: Minimum 2.1 (or equivalent) degree in Zoology/Biology, Engineering or Computer Science/Data Science. Department: Ecology and