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through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme (https://www.undergraduate.study.cam.ac.uk/stem-smart ) which will develop a
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language processing and graph learning Develop data visualisation tools Working in a cross disciplinary team with economists, computer, environmental, and other scientists This is a diverse and dynamic role, and the
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Join Our Amazing Team at Cambridge Economics! The Faculty of Economics at the University of Cambridge has been at the heart of economic thinking in Europe for generations, and we're looking
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-month fixed term contract. The successful applicant will support the Cyber Security Risk Reduction Programme during this period. This is a great opportunity to work on a high-profile strategic initiative
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University of Cambridge About us Contact us Job Opportunities Jobs Applying for a job My applications Right to work What we can offer Living in Cambridge Temporary work Work experience Volunteering Page not found This page cannot be displayed. If you are returning to a previously accessed job...
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successful technology entrepreneurship cluster in Europe. A member of the reception team is often the first point of contact for staff, students and visitors (either in person or on the telephone), and as such
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Campus. The CMDL is a key strategic resource for the integrated cancer medicine programme aimed to translate innovative genomics methods for advanced diagnosis and clinical management of cancer
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Research Support programme (TRS). TRS is a University-wide strategic initiative that aims to modernise research administration at Cambridge, eliminating operational inefficiencies and introducing digital
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We are seeking a highly motivated Study/Trial Manager to join our team in the Department of Public Health and Primary Care. This position is part of CanRisk, an exciting programme of work focusing
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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate