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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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are fundamentally limited by a "one model for one task" design philosophy. This approach incurs prohibitive engineering costs and yields brittle solutions with poor generalisation to new network conditions, trapping
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
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of harvest using estimates of wood production constrained by UAV and Airborne laser scanning (LiDAR) surveys. Due to weather conditions, it is unsafe for several days to months after a cyclone or tropical
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respiration responds to post-wildfire conditions across Amazonia, and how soil properties mediate this response; (2) how pyrogenic carbon (PyC, charcoal) additions affect soil respiration dynamics in southern
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on extreme weather, agriculture, water resources, hydropower and health in affected regions. A delayed start to the monsoon season (monsoon onset) occurs in future climate projections of several monsoon
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into rivers to restore natural processes, are increasingly employed to address habitat degradation, biodiversity loss, and flood-risk. This PhD aims to monitor and model the ecological responses of plant and
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that regulate cellular metabolism which have potential therapeutic application in a wide variety of human disease conditions. In support of this, the compounds you generate will be evaluated by other team members
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with