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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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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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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
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is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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Summary Financial markets must assess how valuable a company's innovations are, but this is difficult. Patents contain rich information about innovation quality, but extracting meaningful signals
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. You’ll work closely with senior colleagues, playing an active role in managing student data, supporting internal and external reporting, and ensuring a high-quality service for our stakeholders. This is a
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exemplars, support compliance (HR, academic misconduct, data protection), and drive training and upskilling initiatives across all business areas (e.g. Customer Services, HR, IT, Finance, and Facilities
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Data Science Education 107113 Assistant Professor (Education) in Health Data Science Education 107117 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility of the Medical Univeristy of Vienna and the Univeristy of Vienna (JMF), and support Centre
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