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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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BBSRC Yorkshire Bioscience DLA Programme: Nuclear Myosin VI supports DNA repair and is a potential therapeutic target
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Organic quantum batteries: the development of high-performance energy storage devices (S3.5-MPS-Lidzey)
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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the Fusion Engineering CDT, and hence the student will be based at the University of Bristol, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT
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or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them in practice, including the implementation of mitigation
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agricultural management strategies. Depending on the interests of applicants, this project will include computer modelling, data science and ecological data collection. Applications are welcome from any
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to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be delivered across the CDT partner
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang)