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of research with a continuous programme of practical skills training in semiconductor science, engineering and technology, and particularly suited to students from non-traditional education routes such as
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
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treatment. Based within the Department of Chemical Engineering at Swansea University, the successful candidate will join a multidisciplinary research team working at the interface of engineering
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supporting evidence required to design, manufacture and assess these components safely. Starting the project in September 2026 would allow the research to support the wider development programme at an early
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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...