233 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Sheffield
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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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programme under the supervision of Professor Peter Styring and Dr Fanran Meng, with industrial supervision from Peter Hammond at CCm Technologies. The student will become a member of the Great British
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EPSRC Centre for Doctoral Training in Fusion Power 4 Year PhD Programme Funding Available Students Worldwide View DetailsApply Online
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Design and Synthesis of Next-Generation High-Performance Energetic Materials
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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Computer Vision for manufacturing applications, such as automated inspection and component validation. Housed within The AMRC’s innovative Factory 2050, the team has grown organically over the last seven