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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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, where the default token-by-token prediction mechanism is slow and prone to "hallucinating" physically invalid configurations; and the prohibitive adaptation costs of fine-tuning billion-parameter models
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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mechanisms. The student will benefit from interdisciplinary training across three leading institutions: University of Exeter (Dr Robert Ellis) in bivalve physiology; Natural History Museum/Cefas (Dr David Bass
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). Depending on the student’s appetite, further work can exploit observations (satellite and seaglider data), AI tools, or idealized simulations to probe deeper into mechanisms. Specific training on ocean