264 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham in United Kingdom
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, including reduced labour and shorter process times, align with the broader goals of environmentally responsible manufacturing, material efficiency, and high-performance composite production. Achieving defect
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling
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Taught (PGT) Programmes Team, part of the Education Centre within the School of Medicine. The role plays a key part in ensuring the effective delivery of the School’s PGT portfolio, combining programme
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manufacturing processes, driving the development of sustainable composite structures for high-performance applications. Undertake doctoral-level training at the University of Bristol, a globally recognised
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awareness, and decision quality. The project will examine how system design, automation characteristics, and regulatory or governance constraints shape human performance and patient outcomes in safety
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University performance - from recruitment and progression to attainment, satisfaction, and rankings. This provides insight that helps leaders deliver an outstanding student experience at Nottingham and enables
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Committees. You will lead a high-performing governance team and play a key role in enabling effective decision-making, institutional assurance, and regulatory compliance oversight in a complex and evolving
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two shafts while also allowing for assembly/disassembly. Building on a long history of work within the Transmissions UTC into the performance of spline couplings, this project will seek to further
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Centre of Excellence. This is a unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer