176 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" 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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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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The effects of micro-machining operations on structural integrity of biomaterials used in dental applications
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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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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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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. 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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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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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