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consortium and the internationally renowned Plasma Dynamics Group within the School of Electrical and Electronic Engineering at the University of Sheffield. You will play a key role in both the computational
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, reactor design and computer programming. Entry requirements: Upper second class degree in Chemical Engineering, Materials Science and Engineering or Chemistry. Funding Notes Department contribution (fee
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of Sheffield. The role is part of a programme of research that is fully funded by the Aerospace Technology Institute (ATI) in a large collaborative programme with several Industry partners, including Airbus
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performance. Research in the group is a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling
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an emerging waste recovery and treatment technology using advanced gasification processes that can recover the useful materials in the waste in addition to harvesting the energy. Computational modelling will be
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing School of Electrical and Electronic Engineering PhD Research Project Self Funded
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, Research Software Engineering, and individual researchers. You may also have the opportunity to oversee the work of the Library’s Research Data Management Team. Main duties and responsibilities Provide in
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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Overview IT Services at the University of Sheffield provide a full range of complex IT and technology-enabled services. This role supports delivery across our three strategic product areas
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Self-folding Origami ”Robots” for Cognitive Smart Materials School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr S Miyashita Application Deadline: Applications