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The Department of Earth and Atmospheric Sciences at Western University (London, ON, Canada) is looking for a domestic (Canadian) MSc student interested in a multidisciplinary project in the fields
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | 7 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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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
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The successful candidate will exhibit a solid technical background in conducting and analysing construction material, hydraulic tests, and land surveying. Proficiency with civil engineering software tools
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This is a fixed term appointment for 12 months The London School of Economics and Political Science (LSE) is one of the most prestigious institutions of higher learning and research in the world. Founded in
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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 have a good track