491 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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webpages for more information: https://sites.google.com/sheffield.ac.uk/fagan-lab/clostridial-cell-biology-group https://microbialphysicsgroup.sites.sheffield.ac.uk https://www.shu.ac.uk/about-us/our-people
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Numerical simulation for thermoplastic composites overmoulding process
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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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or to collaborate with. It’s a key portal for external engagement with key strategic stakeholders, communicating our values and opportunities to engage with the University on national and international levels. Our
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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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relevant science or engineering subject such as Mechanical Engineering, Aerospace Engineering, Materials Science, Physics or Computer Science If you have not previously been educated in English, you’ll need