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structural alloys. The project will combine advanced phase-field fracture mechanics, continuum-scale chemo-thermo-mechanical modeling, and advanced machine learning techniques for enhanced prediction accuracy
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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decision-making framework to facilitate the design of restoration strategies. In this project, the student will learn on their own time (i.e. self-learning) and under the guidance of the supervisors
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includes over 500m2 of studio space at UWE’s Frenchay Campus. We invite studentship applications from enthusiastic individuals who are strongly motivated to help push the boundaries of machine learning and
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, opening in autumn 2025 in the heart of Gloucester. Housed in the fully renovated former Debenhams building in Kings Square, this vibrant campus will be a hub for teaching, learning, and community engagement
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shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
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information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk Learn More: Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: www.johncrane.com Become a leader in clean
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield
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Studies Law Linguistics and English Language Middle Eastern Studies Planning, Property and Environmental Management Politics Russian and East European Studies Social Anthropology Social Statistics Sociology