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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 other faculty and staff working on our
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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bootcamp sessions as well as a choir. For staff on work visas, we also offer financial assistance towards visa renewal fees. These activities are designed to promote physical and mental wellbeing among staff
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a friendly, vibrant and intellectually stimulating place to work We are seeking a Researcher in Bioethics to work closely with Professor Michael Parker and Professor Patricia Kingori on a project
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of the project. You will be working closely with Professor Patricia Kingori and the project collaborators in the UK, Sierra Leone, South-East Asia and Brazil, and will be engaging with a variety of key
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of the project. You will be working closely with Professor Patricia Kingori and the project collaborators in the UK, Sierra Leone, South-East Asia and Brazil, and will be engaging with a variety of key
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 10 days ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: responsible for implementing the innovative use of real world pseudonymised patient data across the range
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of health economics researchers based at the University of Oxford’s Nuffield Department of Primary Care Health Sciences (NDPCHS). The successful candidate will help develop and deliver a portfolio of health
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data