85 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Imperial College London in United Kingdom
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approach to tax, treasury and insurance, ensuring these strategies align with the University’s broader risk appetite. As a senior leader, you’ll inspire and develop a high‑performing team while representing
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experiences. As a Placement and Internship Adviser, you will combine relationship management, student support, operational planning and programme delivery to ensure these opportunities are high-quality, well
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these into clear, actionable recommendations to programme/project boards as well as Operations and Infrastructure Committee. You will work closely with colleagues in the Portfolio team to evidence and drive data
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Foundation. This project aims to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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, procurement, and professional services to support Imperial’s strategic ambitions. Over the next 6–12 months, Imperial will embark on a substantial programme of retendering and awarding key service provider
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change The opportunity to interact with experts from Imperial, the UK, and Europe in both aerospace engineering and atmospheric science Access to a state-of-the-art, high performance computing cluster You
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applying machine learning to a large and diverse, curated clinical dataset. The candidate should have a PhD or MSc in a relevant field such as Neuroscience, Cardiovascular Science, Computer
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Higher or Further Education Experience of working in a busy customer focused environment A high level of literacy and the ability to express ideas clearly and concisely A high degree of computer literacy
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis