553 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Oxford
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(email: Laurence.brassart@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on the 7th January
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the impact of legacies and will provide legacy information to prospective donors and their representatives. This is a role that requires a good understanding of legacy and major gift fundraising. We
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opportunities with your line manager in the first instance. For more information please go to: secondments Application Process To apply for this role, pleased upload the following via our online application
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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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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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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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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