110 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at University of Oxford
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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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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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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be
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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only applications received before midday on the 5th December 2025 can be considered. You will be required to upload a
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. Emilio Martinez-Paneda (email: emilio.martinez-paneda@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
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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 6th January 2026 can be considered. You will be required to upload a
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and present papers and posters and research meetings. The candidate will act as a source of information and advice to other members of the group on quantum systems and related theoretical and/or
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experimental tests and characterisations to provide data and understanding of non-irradiated graphites (effects of processing and the environmental history such as oxidation and salt infiltration). This will
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electron diffraction data, with particular focus on soft materials. Experience in thin-film fabrication and/or additional characterisation techniques such as EDX/EELS and GIWAXS/GISAXS is desirable. Previous
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consumer education. The post requires 2 days on site per week in either Park End Street, Oxford (where the post is based) or London (to collect data at the funding company). The remaining 3 days can be home