586 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Sheffield in United Kingdom
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. The research will integrate advanced full-field imaging techniques, including X-ray computed tomography, neutron tomography, and related methods, with modern machine-learning approaches such as sparse regression
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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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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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online provision of the pre-sessional courses you will need: a modern laptop or desktop computer in very good working order (Windows 11 or macOS Tahoe 26.1 preferred) a headset (strongly recommended) or
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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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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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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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year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online