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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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, stable and radiocarbon isotopes, pyrogenic carbon, microclimate) and develop a new soil microcosm experiment. Training will include tropical field methods, environmental sensors, experimental design and
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this project have direct applicability to UK commercial forestry and Net Zero ambitions due to increasing tree planting programs coupled with increased extreme weather events. Please direct project specific
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Methods Reaching Net Zero is one of the greatest scientific and societal challenges of our time. Reducing emissions is essential—but unfortunately not by itself enough. To stabilise the climate, we must
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expertise in perturbed parameter ensembles and machine-learning model integration. A CASE placement at the Met Office will further strengthen your applied training and professional network. CASE Partners
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of Southampton. Before joining Southampton, he was a Postdoc at the University of Birmingham (2023-2024) and Newcastle University (2021-2023). More details can be found in his personal website: https://hanwu.ac.cn