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are urgently needed to monitor PFAS in water and probe their interactions with biological systems. This PhD project will develop a cutting-edge single-molecule optical sensor for real-time, ultra-sensitive PFAS
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Methods The Southern Ocean plays a disproportionate role in capturing anthropogenic heat and carbon. Its complex dynamics are characterised by interaction between the large-scale and a range of small-scale
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, or applying consistent correction models across inter- and intra-satellite interactions. The use of multi-objective optimisation will enable systematic exploration of trade-offs between different classes
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health status, the project will identify host–microbe interactions that enhance or constrain resilience. Research will use UK coastal environmental gradients and laboratory experiments to disentangle
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? The supervisory team comprises senior researchers with expertise covering conservation, ecosystem functions, species traits, ecological interactions, and environmental change. The Doctoral Researcher will have the
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to acquire domain-specific networking knowledge, especially for reinforcement learning (RL) tasks that traditionally require costly live environment interaction. To resolve this, this project proposes
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. Uncertainty quantification shall be incorporated to strengthen robustness. The development of an interactive visualisation application shall support decision making and planning. The technical insights from
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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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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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relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based