576 data "https:" "https:" "https:" "https:" "Inserm" positions at University of Oxford
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by collaborating on sound financial strategy to provide long-term resources, underpinned by excellent operational and professional services. For more information please visit: https
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PREVIOUS APPLICANTS NEED NOT RE-APPLY We have a rare and exciting opportunity for a Head of Data Engineering and Informatics to join the Infectious Diseases Data Observatory (IDDO), at the Centre
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duties within academic, clinical, or research environments. You will have an experience of supporting research activity, including participant recruitment, screening, data collection, and/or participant
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throughout. Becoming an apprentice at the University of Oxford is an excellent opportunity to gain practical experience and training. For more information, please visit: https://www.apprenticeships.ox.ac.uk
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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registration and have completed your core psychiatry training. You will have demonstrable experience of working with individuals with mental health disorders, particularly mood disorders. Excellent data
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, patient management, governance and compliance, and data and documentation. This position sits at the interface of cardiology, cardiac surgery, radiology, and clinical research delivery, requiring strong
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. You will support the delivery of key research studies, including the SINAPPS2 trial, by recruiting and assessing participants, managing data, and coordinating day-to-day study activities. Working
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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dialogue with researchers and policymakers, and contribute to a shared programme platform that maps expeditions and visualises impact while respecting open-access and Indigenous data sovereignty principles