469 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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knowledge in relevant approaches analysing weather or climate data, or data from related physical systems. Fixed-term until 28 February 2027, with the possibility of an extension of up to 19 months
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About the role The Department of Social Policy and Intervention is seeking a Research Assistant with computer science and Earth observation expertise to support climate and population data
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support budget monitoring, reporting to funders, recruitment processes, and compliance with ethical, contractual, and data protection requirements. You will coordinate meetings with collaborators and
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, functional genomics data analysis or molecular genetics. You will have the ability to manage your own academic research and administrative activities and have a track record, commensurate to your career stage
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(typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role Anchored at the Blavatnik School of Government, University
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, Rheumatology and Musculoskeletal Sciences at the University of Oxford. The post-holder will co-lead development of a CoRE computational pipeline that integrates multi-omic data at the cellular level across
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York Genome Center) to co-design experiments and generate novel datasets, including exome/genome sequencing of hundreds of thousands of individuals, large-scale single-cell data from primary human
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, and other team members, and contribute to the development of information management systems to improve grant administration across the department. It is essential that you must have a degree or
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on the qualitative case study component of this research phase, including participant recruitment, interviews, data analysis, practitioner report writing and academic publication. They will also be
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning