244 computer-science-intern-"https:"-"https:"-"https:" positions at University of Sheffield
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick
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skills highly valued in international research institutions and advanced engineering industries, particularly within the energy, nuclear, and infrastructure sectors worldwide. Eligibility Requirements We
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studying a STEM subject with a clear understanding of the application of Computer Vision and digital technology in the manufacturing environment. We are looking for diverse abilities, including good
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances
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AI-assisted grading of end-of-life wind turbine composite materials for a circular economy
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Computer Science, Physics, Engineering, Medical Physics, or related discipline
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skills, combining the development of research and technology theories and applied manufacturing solutions in a non-production environment. You will also need to demonstrate a high level of capability
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Numerical simulation for thermoplastic composites overmoulding process
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recognition, and diarisation. About the School and Research Group You will be a member of the Speech and Hearing research group in the School of Computer Science at the University of Sheffield and an