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Field
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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc
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models used in component scale CFD assessments. In particular, this concerns quantifying the effects of the heat transfer surface’s detailed topography, porosity and wettability on near-wall bubble
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the project include: Understand player perceptions of elements of the game associated with heightened risk and vulnerability relevant to concussion. Evaluate perceived acceptability and legitimacy of current
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of thousands of potential materials. A key component of the project is the creation of a high-quality defect database for functional mixed-anion semiconductors, which will be used to train the machine learning
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of the PhD will be open for the student to refine. We anticipate a mix of field data collection, laboratory and Sphagnum growth experiments, alongside a strong modelling component. The work will focus
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Carry out other duties commensurate with the grade and remit of the post Person Specification Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all
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overcome some of the most insignificant damage, such as a cut in their functional component. The aim of this project is to develop a fundamental physical homeostatic framework in order to endow machines with
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. Natural circulation loops (NCL) will be an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR
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investigate key measurement techniques, such as thermal analysis, rheology, and mechanical testing, to characterise the properties of post-consumer recyclates. The project will apply cutting-edge data science
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Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD