97 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Imperial College London
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is
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The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
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and spinouts with deep technology-based solutions for climate mitigation and adaptation. Encompassing hardware, software and hybrid solutions, the project supports climate-focused businesses across a
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in industry-university collaborations and technology transfer and you will be an integral member of Imperial’s Enterprise Division , working with leading global companies and our world class
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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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College London is a world-leading university for science, technology, engineering, medicine and business (STEMB), where scientific imagination leads to world-changing impact. Imperial manages one
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, and collaborative projects. You should have a masters degree or equivalent in Neuroscience, Computer Science, Mathematics, Biomedical Engineering, or a related discipline with a focus on machine
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(or equivalent) in engineering, physics, mathematics, computer science, or economics. How to apply: Please choose the Electrical and Electronic Engineering Research Program and the Control and Power Group, then
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enabling them to achieve the best outcomes possible, then this role may be for you. You will be working with young people aged 14–19 who are engaged with our Maker Challenge programme within the Dangoor
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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