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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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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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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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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
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that you apply early as the advert may be removed before the deadline. The cryptographic protocols used to secure communications and data are safe under the assumption that problems like integer
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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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techniques including Raman spectroscopy, X-ray diffraction (XRD), solid-state ¹³C NMR, leaching and accelerated ageing tests. You may come from a background in chemistry, chemical engineering, or a closely
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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-scale metagenomic assembly and genome recovery • Comparative genomics and molecular evolution • Machine-learning-based protein prediction • Data integration, bioinformatics and phylogenetics • Scientific