523 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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Performance Venues create and deliver a large and varied programme of events across each year supporting our students, academics, and professional services teams, as well as encouraging audiences
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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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
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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Adaptive Learning in Brain-Robot Interactions
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Advanced Carbon Fibre Composites using Next-Generation Additive Manufacturing (CFAM)
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines
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performance will be supported through the SGRE R&D engineering team who are also assisting in supervising the project. Entry Requirements If you have received a First-class Honours degree, or a 2:1 Honours
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Artificial intelligence and machine learning methods for model discovery in the social sciences