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be tailored. This project aims to explore how combining network modules with diverse properties can be used to create easy to train AI models capable of solving challenging, real-world problems. It
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About the project Are you passionate about pushing the boundaries of engineering and accelerating decarbonization and the transition to a carbon neutral energy system through groundbreaking research
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Brown Group within the Department of Chemical and Biological Engineering at the University of Sheffield. You will benefit from the world class expertise of the research group and interaction with several
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interdisciplinary collaboration crossing the Computer Science and Materials Science covering both theoretical and experimental research into spintronic neuromorphic computing. The department has a track record of
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interdisciplinary collaboration crossing the Computer Science and Materials Science covering both theoretical and experimental research into spintronic neuromorphic computing. The department has a track record of
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, you will be part of a vibrant team of researchers within the Sheffield Fluid Mechanics Group as well as benefiting from close collaborations with world-leading experts across the UK and Europe. About
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based at the Department of Computer Science, the University of Sheffield. 99 percent of our research is rated in the highest two categories in the REF 2021, meaning it is classed as world-leading
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line '[PhD-Sim4Conv] - [Your Name] - [Your Current Institution] - [Your Country]'. Supervisor Bio Dr Xi Wang is a Lecturer in Natural Language Processing at the Department of Computer Science
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Facility is a Centre-of-Excellence for semiconductor epitaxy in the UK and is funded by the Engineering and Physical Sciences Research Council (EPSRC). The facility’s staff have developed world-class epitaxy
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the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience. To find out