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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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has on the space-time geometry. The aim of the project is to explore the backreaction of quantum fields on black hole space-times. First, the stress-energy tensor for a chosen quantum field is computed
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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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and Interview Ability to prioritise work while maintaining standards Desirable Application and Interview Basic computer skills, use of emails and ability to use online training modules. Desirable
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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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
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Artificial intelligence and machine learning methods for model discovery in the social sciences