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. Information session We are inviting you to attend an online information session about LUMS PhD programmes on 13th January 2026, 12:00-13:30 (GMT). Prospective students will obtain information about our PhD
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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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once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . A strong background in computer science, computational science, data science, or a closely related
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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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past, present and future events to constrain extreme value distributions spanning hundreds to thousands of years. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys
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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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can be undertaken on either a full-time or part-time basis and is available only to a candidate who is eligible for UK home fee status. Start date 1 October 2026 For further information and how to apply
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will be affiliated with the LEAP project and Faraday Institution Funding information Standard UKRI Stipend (£20,780 from 1 October 2025) Stipend: Standard UKRI stipend, PG Research Fees - Student Finance
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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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ecology and associated fisheries. A gap in local knowledge/data and technical capacity to coordinate and deliver usable data tools was identified. This gap inhibits the dynamic understanding of the impact