565 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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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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collaboration experience. Main duties and responsibilities Develop findable, accessible, interoperable, and reusable (FAIR) AI / machine learning software, tools, and workflows to support multiple exploratory
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will integrate full-field experimental measurements—such as Digital Image Correlation (DIC)—with synthetically generated data and advanced machine-learning techniques to identify physically meaningful
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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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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Traditional machine learning (ML) approaches require large volumes of annotated defect data and significant manual oversight. For the aerospace industry, this, combined with rare, but critical, defect examples
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are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View
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. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online
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some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online
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under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online