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website and intranet, updating records and monitoring shared mailboxes and similar administrative tasks. Applicants should have excellent people and communication skills, knowledge of web-based
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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
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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
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Applications are invited for a Programme Lead for the Engineered Pandemics Risk Management Programme in the Centre for Pandemic Risk Management, at the level of either Principal Research Associate
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including Windows, Mac, Android, and iOS clients is essential. Knowledge and experience of systems within the University of Cambridge would be an advantage. Experience of large plotters and specialist design
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customers in the use of IT systems and services. The right candidate would need to have solid working knowledge of Microsoft operating systems, Mac OS, iOS, Android and Microsoft Office suite. The role
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Privacy Preference Center When you visit websites, they may store or retrieve data in your browser. This storage is often necessary for the basic functionality of the website. The storage may be used for marketing, analytics, and personalization of the site, such as storing your preferences....
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. Seaborn's research. Further information on the PhD in Computer Science programme can be found at: https://www.postgraduate.study.cam.ac.uk/courses/directory/cscspdpcs/apply All applications should be made
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer
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Black British identities. At the project's heart is a Community Panel who will guide, shape and curate a programme of activities, events, exhibitions and other outputs. CUL is also collaborating with