566 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Sheffield
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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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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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- https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online
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- https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online
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year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online
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only. Intakes 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
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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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-leading manufacturers on initiatives involving Industrial Internet of Things (IIoT), machine learning and AI, advanced automation, and HMI technologies. Our software development teams work across the