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capabilities in reasoning, planning, and generalisation, acquired through extensive pre-training, provide the foundation for a true cognitive engine capable of managing network complexity holistically
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-enabled 6G is a nascent field, this project is at a pivotal time to advance our knowledge on how to build distributed and lightweight LLM architectures for 6G spectrum management. The success
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of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based on their knowledge and assumptions
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this knowledge gap using a scale-spanning strategy, investigating viral and archaeal counter-adaptations in environmentally sourced cultures. Embedded in an interdisciplinary supervisory structure; Daum (archaeal
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on their knowledge and assumptions about the system and its operational context. However, as environmental conditions evolve, these assumptions may no longer hold, leading to inaccurate predictions of adaptation
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, ecological and spatial data analysis, and knowledge exchange. This project includes an internship with a conservation organisation and fieldwork opportunities. CASE Partner The Bat Conservation Trust (BCT
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of resistant pathogens? Can microplastics ‘shelter’ resistant pathogens, facilitating their survival and transmission through wastewater systems, and beyond? Can this knowledge be used to inform wastewater