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Hassall, Statistics Dr Jacqueline Stroud, Warwick Crop Centre Dr Richard Everitt, Statistics Interdisciplinary Research Warwick Statistics is one of the largest Statistics departments in the world, with a
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complex in scenarios like parallel-pass deposition, thin-wall deposition, and off-centre or out-of-position deposition. Additionally, FEA models are focused on thermal conduction in solid medium and often
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by the Ada Lovelace Centre and the University of Birmingham. This interdisciplinary project is ideal for candidates with a background in physics, materials science, chemistry, or computational science
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Andy Smith, Head of Secondary and Further Education, and Director of the Centre for Mental Health, Sport and Physical Activity Research in collaboration with colleagues from Public Health, Wigan Council
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
datasets with industry-aligned performance metrics. The successful candidate will join the Centre for Digital and Design Engineering (CDDE), part of Cranfield’s Manufacturing, Materials and Design theme
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. The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University
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of our research, we continue to undertake initiatives to ensure that integrity, ethics and excellence are at the core of our research activities and fully embedded in our research culture. View All
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, ethics and excellence are at the core of our research activities and fully embedded in our research culture. View All Vacancies
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people. A globally outstanding centre of educational excellence, a collegiate community of extraordinary people, a unique and historic setting – Durham is a university like no other. We believe
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights