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the Birmingham MC40 cyclotron facility. This experimental campaign and the new data/insights will allow you to validate structural integrity models of ASSs linking meso- and macro-scales. During this PhD project
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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skills, which will be required to lead the development of automated data analysis and modelling. The student will also undertake a research secondment to coral reef monitoring sites at NEOM for three
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manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
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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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data with fundamental physical principles. These models will be used to predict the evolution of mechanical properties during ageing, with the goal of reducing experimental testing requirements while
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | about 7 hours ago
of evidence-based interventions. The chosen candidate will join a strongly multidisciplinary team and learn clinical skills alongside academic skills related to review of the literature, research design, data
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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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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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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