584 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Sheffield
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Vision concepts, including image processing, machine learning for visual inspection, and AI, within a manufacturing environment. Your work may also involve developing novel demonstrators for Computer
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. How to apply: Please complete a University Postgraduate Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying. Please clearly state the prospective main
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project will develop a physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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(IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please
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@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle Physics group in Sheffield and our projects can
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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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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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The effects of micro-machining operations on structural integrity of biomaterials used in dental applications
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collaboration experience. Main duties and responsibilities Develop findable, accessible, interoperable, and reusable (FAIR) AI / machine learning software, tools, and workflows to support multiple exploratory