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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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the REF 2021, meaning it is classed as world-leading or internationally excellent. We are rated as 8th nationally for the quality of our research environment, showing that the Department of Computer Science
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Do you want to pioneer using cutting edge technology to investigate how work-related interactions are impacting employees’ loneliness? This fully funded PhD offers access to a vibrant research
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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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economy, public administration, social policy or work and employment, although applications from individuals with other social science backgrounds are also very welcome. The project will be supported by
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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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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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, 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