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Funding amount Standard UKRI stipend, RTSG, Fees Covered. The project: Tracking and controlling the spread of emerging pathogens using sequentially collected data is a critical challenge in public
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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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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison
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). Atmospheric rivers are poorly forecast on the subseasonal scale, and regions identified as having particularly poor skill include the Indian monsoon region, Madagascar, and Indonesia (DeFlorio et al., 2019
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Mechancial and Systems engineering (full time) - MECH8090 (FT)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi
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over conventional single-rotor designs. However, MR technology is still in its infancy, and hence many interesting research and engineering questions remain to be answered to demonstrate the true
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for the course "PhD in Chemistry", naming Professor David Spring as potential supervisor. Information about research in the Department of Chemistry is given at: http://www.ch.cam.ac.uk For any queries about this
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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fault logs. Apply AI agents by integrating modern communication protocols to ensure reliable data transmission between IoT devices, LLM servers, and data repositories. (3) Machine learning for predictive