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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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chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
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evaporation, and enhancing panel efficiency through water-based cooling. When integrated with electrolysers, FPV can support on-site green hydrogen production—a flexible, storable energy carrier suitable
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, valuable for laboratory and short-term field studies, into a fully integrated system for real-world deployment, where rapid detection of water quality deterioration is critical. The proposed research will
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multimodal satellite Earth Observation and machine learning can be used to quantify cyclone and storm damage in plantation forests. The core focus could be on integrating pre-storm LiDAR with post-storm
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
of this project will contribute to achieving the UK’s "Connected Nation" ambition by advancing the integration of LLM in 6G systems. Three cooperative Work Packages (WPs) are envisioned to achieve the research aim
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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practice? Species’ traits provide a promising framework for quantifying ecosystem integrity. We are looking for a Doctoral Researcher with a strong interest in ecology and conservation biology to develop
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investigate how corrections can be integrated into GNSS-IMU fusion frameworks, allowing the use of low-cost sensor outputs as proxy labels for large-scale, low-cost training. This approach has the potential