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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
operate in spectrum environments that are scarce, heterogeneous, and highly dynamic, which makes the traditional static and centralised spectrum management strategies inadequate for ensuring reliable, low
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marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful analytical outputs for subsequent management action. The PhD student will possess excellent programming
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decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
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over space and time in response to dryland management in the context of environmental variation. The Saudi NEOM project is one of the largest ecological restoration projects worldwide, with interventions
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communities may have ecosystem level impacts that must be considered as part of sustainable management of the deep ocean, and in light of the new High Seas Treaty. This studentship will ask: how are deep-water
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role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
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About the ProjectProject details: Next-generation networks are rapidly outscaling the capabilities of traditional management paradigms. While early AI/ML models offered a degree of automation, they
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agencies, aquaculture managers, and marine spatial planners. Furthermore, as climate change drives increases in the frequency and intensity of HABs, tools that enable proactive management will become
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the interaction between sediment mobilisation and water quality, generating evidence to help manage mountain river systems. The student will be based in Geography at the University of Exeter, where they will