87 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Cambridge
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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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FAccT and AIES), as well as policy fora. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related
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, researchers, data scientists, behavioural scientists, digital health specialists, and international collaborators across EMBRACE partner sites to develop and deliver high-quality, scalable, AI-enabled research
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as a key link between Fellows, College members, Students, the Butler, Directors of Studies, Head Chef, Food & Beverage Manager, Conference and Events team and other College departments, ensuring
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Project Overview Resilient and productive agriculture is reliant on bespoke planning involving data-driven decisions guided by local practice, required practice, local data, such as crop yield, and
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Current vacancies are advertised here. If you want to know more about what its like to work here, take a look at our Working at Churchill and Staff benefits pages . Click on the link
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in the UK Financial support for non-UK students EU updates Country-specific information Webinars for international students Further resources Events (including online events) Regular webinars (ongoing
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for recruiters. Close Navigation Find a Job Login To Your Account Contact Us About IRIS Recruitment Services Recruitment Software Request a Demo Client Login Link to IRIS Recruitment Facebook Page Link to IRIS
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. Maintain membership information across College systems and support production of the College Calendar. Assist with Fellowship communications, Admission Ceremonies, Fellowship Dinners and related events
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management, asbestos and fire safety. Supporting the development and proactive management of compliance data through the College’s CAFM system. Using data and internal audit outcomes to recommend improvements