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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
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reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer
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data availability and design parameters. Importantly, the AI implementation should act as a facilitator of creativity, enhancing, and inspiring the early design phase rather than constraining
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are not limited to: Data visualisation Text mining Network analysis Digital mapping 3D modelling Augmented/Virtual reality AI and computer vision Digital exhibitions and archives Scholarly communication by
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to missed detections, unstable feature extraction, and reduced confidence in data interpretation. Current perception pipelines treat observations as direct ground truth, yet at sea the visual signal is a
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
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. This project will develop models that can extract information from legacy data, and leverage this information in the design of new materials, especially for steel types that can be produced in a more sustainable