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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
influenza A virus entry and transmembrane proteins influencing SARS-CoV-2 entry. Building on these findings, this PhD will integrate comparative genomics with functional experimental validation to uncover new
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and AMR markers. By integrating plasmonic signal amplification using gold nanostars with a power-free electrokinetic focusing mechanism, the device will enable early-stage detection without the need
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
measurements in spiked environmental (e.g. wastewater) and clinical (e.g. blood) samples Integrate sensors into portable platforms for field and point-of-care applications Impact and Outlook: This project will
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components, the primary focus will be on developing and validating the scalable geospatial AI framework, with field and policy integration supported through established collaborations. You’ll gain advanced
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speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
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low-cost 3D scanning solutions (e.g. photogrammetry, LiDAR on mobile devices, open-source depth sensing) and integrate them with accessible XR platforms such as WebXR, mobile AR or Standalone XR HMDs
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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