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, an expert-driven, manual, and time-consuming process used to simplify CAD models so that meshing tools can cope with small-scale features such as fillets and manufacturing details. This de-featuring is not
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physical models. As the PhD researcher on this project, you will work at the intersection of machine learning, geometry processing and industrial simulation. You will have the opportunity to explore
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language comes at a cognitive cost. Which begs the question: why do bilinguals choose to keep switching language types in conversation, despite apparent information processing inefficiencies? A phenomena we
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ATAS clearance. Further details on ATAS scheme eligibility are available on the UK Government website . ATAS clearance IS NOT required to be held as part of the scholarship application process
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workflows rely heavily on geometric de-featuring, an expert-driven, manual, and time-consuming process used to simplify CAD models so that meshing tools can cope with small-scale features such as fillets and
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will include race videos, rider power and speed data, and race commentary to codify key race events, using expert knowledge and available evidence. - Develop a post-race analysis framework, process, and
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defined by Swansea University) not holding a master’s degree, will be considered on an individual basis. Selection process Please see our website for further information. Website for additional job details
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26) and an annual top of £1200. Additional research expenses of up to £1,000 per year will also be available. Selection process
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods