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advanced nanoengineering techniques, the project seeks to achieve a DA biosensor with superior sensitivity, selectivity, and stability, optimised for use in complex biological environments. Background
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
is to exploit transformer-based attention mechanisms to model sequential dependencies and capture long-range interactions, making them promising tools for complex spectrum management. Despite being
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to search optimised model structures, complementing RL’s incremental updates. Consideration of robustness to various sources would be an objective too. Expected Contributions A novel framework combining
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to search optimised model structures, complementing RL’s incremental updates. Consideration of robustness to various sources would be an objective too. Expected Contributions A novel framework combining