388 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Sheffield
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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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AI-assisted grading of end-of-life wind turbine composite materials for a circular economy
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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
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An Information Theoretic Approach to the Smart Grid
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EngD: Generative AI for scalable, sustainable, and trustworthy manufacturing (sponsored by Rolls-Royce)
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Overview The Speech and Hearing (SpandH) group was established in the Department (now School) of Computer Science at the University of Sheffield in 1986, and enjoys an international reputation
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engineering, physics or applied mathematics. Interests in CFD, computer programming and nuclear engineering are desirable but pre-knowledge and experience are not essential. The student is expected to present
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Adaptive Learning in Brain-Robot Interactions
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Advanced Carbon Fibre Composites using Next-Generation Additive Manufacturing (CFAM)