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Field
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state-of-the-art high heat flux testing, simulating the extreme environments of fusion reactors. Harness advanced computational tools to model complex particle-material interactions and predict material
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methodologies compatible with epidemiological principles to produce high-quality evidence and tools. In this inter-disciplinary PhD project, you will collaborate with other researchers from the NCSR in the above
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(conductivity, heat capacity, flame resistance). Advanced finite element modelling will then correlate microstructural features to heat-transfer performance. The candidate will design and build a burner-rig test
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, interdisciplinary research group, including a postdoc, DTP students, and technicians. Training will include fieldwork, bird handling, ringing, lab techniques in molecular biology, microbiome sequencing
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students only Entry date: 12th January 2026 Closing date: 4th December 2025. Interviews will be held via MS Teams on Monday 15th December. We are looking to recruit a high-quality PhD candidate
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Project Description: Understanding how nutrition can affect cognition is important in our modern world as it has been shown that poor nutrition, linked to the overconsumption of ultra processed foods high
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biological materials. The development of novel computer-vision-based techniques for contactless detection, quantification, and prevention of sport injury. The development of robotic humanoid simulator and
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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performing photocatalytic production of a green fuel, hydrogen, and removal of the potent greenhouse gas nitrous oxide. Those reactions were driven by electrons supplied by robust, light-harvesting Carbon-Dots
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate