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We are looking to recruit a part-time 0.2 FTE Teaching Associate, as soon as possible to provide teaching and assessment in the Department of Land Economy on the Mphil programme in Real Estate
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An exciting new role has arisen to support the expansion of the Active Students Programme at Cambridge. The role holder will be part of the team responsible for coordinating and supporting the day
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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Administrator, with a special emphasis on the MPhil in Politics and International Studies. In conjunction with Programme Director, the post holder will be in charge of all administrative elements from admissions
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first degree in engineering, computer science or a closely related field and a PhD degree in Machine Learning or a closely related area. - Knowledge of and active engagement in research on probabilistic
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domains: staging.mollerinstitute.com, mollerinstitute.com The cookie policy was last updated on 23.07.2025 What is a cookie? A cookie is a small data file stored in your computer, tablet or smartphone. A
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of the Cambridge College system is desirable. In addition, strong organisational and computer skills, including social media, are required. A willingness to travel on school visits is essential
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programme, supporting training for both Departmental and Research Office staff. Your application should clearly set out how you meet the criteria listed in the person specification (the skills and experience
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Researchers who are based across Africa and other locations in the UK, mainland Europe and Scandinavia. MAEASaM is an international, multi-partner programme. The University of Cambridge serves as the lead and
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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