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Location: South Kensington Campus Job Summary Imperial’s Faculty of Engineering (www.imperial.ac.uk/engineering ) carries out world-leading research in Aeronautics, Bioengineering, Chemical
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | 10 days ago
aims to deliver world class regulation and improved outcomes for UK patients. We are currently looking for an experienced Real World Evidence Lead to join our Scientific Data & Insight function within
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technical expertise, for all its scientists, through our Science Technology Platforms (STP). Overall, there are 18 world-class STPs, ranging from cell services and biological research facilities, to high
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Faculty of Health and Life Sciences The above full-time post is available immediately in the Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences until 30th June 2025
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; global women’s leadership; engineering; international relations and support for students who will go out and make a difference in the world. We are a strongly values-driven team, maximising the benefits
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Project. The origin of life on Earth stands as one of the great mysteries of science. Researchers have long concluded that the chemical reactions that allowed life to emerge took place in microscopic
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qualification framework, and inputting to cross-agency data science initiatives. The role offers an exciting opportunity to be at the forefront of regulatory and scientific aspects of Real World Data and Evidence
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About the opportunity: We have an opportunity for an outstanding individual to join the Physical Sciences & Engineering team as a Business Manager. The individual we are seeking will be working
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commercialisation activities. Imperial values collaborative research that combines real-world business challenges with academic curiosity and research rigour to deliver tangible benefits for society. Working in
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computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will