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focused on the optimal utilisation of advanced RF sensors that are capable of performing multiple roles, either sequentially or in parallel. The UCL Radar Group hosts one of the few demonstrator systems
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processes and understand their impact on survival, infection and resistance. We have developed approaches to study multiple bacterial pathogens in parallel, with a primary focus on Klebsiella pneumoniae and
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navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where multiple LLM-powered agents operate concurrently to explore user-generated worlds
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movement. Contribute to the development of a multiple data source integration (visual and acoustics) for early detection of lung diseases. Develop and optimise scalable data processing pipelines, including