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and funding, particularly incorporating policy objectives within processes, while considering the level of institutional burden and monitoring information required. This will include: contribute
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responsibilities will include: Working collaboratively with colleagues and stakeholders to collate and process large quantities of data and translate this into the FAS academic timetable, ensuring that services
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logical approach to tasks High standard of written and verbal communication Ability to manage confidential and sensitive information with tact and discretion Confidence in working collaboratively with a
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on the study of the digital traces we left behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in
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recruitment journey. This position ensures accurate data management, efficient application processing, and effective communication strategies to drive engagement and conversion. The role will be based
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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. This role sits within the Records and Funding Team, supporting the accurate maintenance of student records throughout the entire student lifecycle. You will manage and update student data within the SITS
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You will be responsible for the day-to-day coordination of project activities, working closely with University academics and farm staff to ensure high quality data collection and adherence to agreed
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applying and information about working at Oxford Brookes Job Details Only for those invited - Associate Lecturer / Associate Researcher Hourly rate as advised by recruiter Associate Lecturer If you have been
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a