431 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Oxford
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to engage in both data processing and event management activities at different times of the year. The role involves working with colleagues from right across the university. What We Offer As an
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information about the university and how to apply. This post is part time (18.25 hours / 0.5%FTE) and maternity leave cover until 25 January 2027. Only applications received before midday 12:00 on Monday 12th
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to the development of an inclusive and positive working environment, you will be analytical and well-organised, and use HR data to inform decision-making and help shape departmental strategy. Applications
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essential. Informal enquiries may be addressed to Dr. Yangchen Pan: yangchen.pan@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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shifts, proposing and undertaking new experiments, carrying out the corresponding data analysis and reporting the findings to the Accelerator Physics and Machine Development meetings. Applicants should
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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childcare services • Cycle loan scheme and discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs More information about working at the School
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experimental approaches, analyse data, and contribute to publications and funding applications. You’ll also play an active role in collaborating across partner groups, supervising junior researchers, and
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of performing studies in vivo models of disease and have held/hold an animal licence. Excellent communication skills with the ability to present scientific data at internal lab meetings and represent the group