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responsibility for designing studies and applying for the relevant ethics and other permissions, primary data collection, and developing applications for funding for new or continuation projects. To be considered
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academic partners. Our Off Campus Division supports provision delivered both in the UK and internationally within a regulated and data-sensitive environment. As our partnership portfolio expands
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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and partner urban sites, the successful candidate will collect and analyse real-world environmental data to evaluate how vegetation interacts with the built environment. You will be supported by a
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data and insight are used to inform strategic decision-making across the institution. You will work with a rich and complex range of higher education data — including student, research, staff, financial
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strategic moves, informed by both insight and data. Working across the institution, as directed, on programmes and projects that aim to improve the quality, consistency and efficiency of our campuses. Taking
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of equipment for testing construction materials, including data logging and storing results for later analysis. This role will be based on the University campus, with scope for it to be undertaken in a hybrid
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telephone or video call) following enrolment, maintaining accurate study records and databases, and liaising with site teams to coordinate data collection and follow-up activities. The post holder(s) will
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities