100 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Bristol in United Kingdom
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interfaces or related areas, with high quality publications in leading venues. • Experience designing, building or experimenting with interactive hardware, physical computing systems, or computational
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quantum technologies at QET Labs. At the heart of this research strength is Isambard AI, a flagship national initiative designed to accelerate breakthroughs in machine learning, drug discovery, and climate
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Bristol’s industrial and academic culture. Bristol has been a major UK centre for high-performance computing, and has strengths in numerous related architecture-facing disciplines, including but not limited
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of wind turbine blades and wind turbines, and LMAT, a specialist SME in composites process modelling. The project focuses on the design, manufacture and performance of next-generation wind turbine blades
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strategic financial planning, performance monitoring, and delivery of targets. Maintain excellence across the publishing programme upholding Bristol University Press’s high-quality standards whilst advancing
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ambitions. You will lead a high‑performing team of specialists across health and safety, occupational health and staff counselling, and serve as the University’s senior expert voice in this critical area. In
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and future-proof our entire infrastructure. This is a rare opportunity to play a pivotal role in a high-visibility programme that will reshape connectivity across a complex university environment. Why
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image and video processing algorithms Developing and adapting machine learning models Integrating and deploying algorithms onto industrial hardware Evaluating performance in realistic scenarios and
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The University of Bristol is seeking a dynamic and proactive Security Systems Coordinator to join our high performing team. As Security Systems Co-ordinator, you'll be at the forefront of ensuring
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planning. The successful candidate will play a leading technical role in developing advanced geospatial and AI-based models for high-resolution crop detection, biomass estimation and spatial suitability