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research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name:Professor Zhugen Yang Email: Zhugen.Yang@cranfield.ac.uk
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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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Carra Email: irene.carra@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form. Please note that applications will be reviewed as they are received
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(transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Alice Johnston Email
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opportunities. How to apply For further information please contact: Name: Dr Richard Critchley , Dr Rachael Hazael or Dr Kate Hewins Email: r.critchley@cranfield.ac.uk , rachael.hazael@cranfield.ac.uk, K.Norton
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contact: Name: Dr Carol Verheecke-Vaessen Email: c.verheecke@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form. Please note that applications
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Smith Email: h.m.smith@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form. Please note that applications will be reviewed as they are received
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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contact: Name: Dr Simon Jude Email: s.jude@cranfield.ac.uk
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information please contact: Name: Dr Alex J Elliott Email: Alex.J.Elliott@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form .