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Scientist to join the Health Data Science and Epidemiology research group led by Dr. Nathalie Conrad . The research specialises in large-scale data analyses exploring cardiovascular disease, with a particular
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to deadlines , without close supervision, and accustomed to handling large amounts of data and information and conflicting demands. Applications for this vacancy are to be made online, and you will be required
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of identifiable data and/or biological samples You will work closely with researchers, research support staff and administrators across the University, including University departments, internal ethics committees
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administrative structure of the department, working within the large and busy grants team. Responsibilities will include managing a portfolio of awards within a research groups, covering both pre-award and post
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, computational biology, machine-learning and big-data science. There will be opportunities to develop new models to explain differential responses of T cell populations during homeostasis, inflammation and cancer
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financial strategy to provide long-term resources, underpinned by excellent operational and professional services. For more information, please visit: https://finance.admin.ox.ac.uk/ What We Offer Working
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experience of working as a Business Analyst throughout the change lifecycle and on a variety of initiatives. Experience of working within a large and complex transformation programme would be highly regarded
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of individuals, large-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. As a Software Developer, you will be responsible for designing, implementing
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across the Division. Your responsibilities will include troubleshooting desktop computers, supporting research-specific IT systems, and advocating for IT and Information Security best practices. We’re
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responsibility for the provision of research support for a large project whose focus is the downstream signalling effects of T-cell surface proteins, principally using imaging-based methods. Ideally the post