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Numerical simulation of boiling flows for high heat flux fusion components (Associate University project at the University of Nottingham)
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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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engineering, material engineering or applied physics. The successful candidate will have: -Strong background in solid mechanics and engineering mathematics -Strong interests in computational work and laboratory
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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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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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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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About us: The post will be based in the Department of Biostatistics & Health Informatics at KCL, within the Institute of Psychiatry, Psychology and Neuroscience (IoPPN). The centre offers a diverse
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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