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Field
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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UKRI Net2Zero CDT (Industry-Sponsored by Halocycle Ltd) - Advanced microwave technology development for low carbon PVC recycling The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured environments where terrain can change abruptly. However, formally certifying these opaque...
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
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relevant subject, such as health sciences, biomedical engineering, or related discipline. A strong interest in implementation science, innovation adoption, or health systems research is essential, alongside
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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This project addresses a fundamental question concerning material failure under neutron loading in fusion energy components, particularly within the first layer of the breeder blanket. Previous work at Swansea has developed a multiscale platform that combines Monte Carlo simulation of...
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In future fusion power plants operating with a closed-loop fuel cycle, breeding a sufficient quantity of tritium is essential for sustained power generation. A key performance metric is the Tritium Breeding Ratio (TBR), which depends on several tightly coupled factors, including breeder blanket...
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...