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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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investigator and Career Consultants in the Careers and Employability Service on data interpretation, benchmarking and report writing. This includes gathering and systematic analysis of large-scale
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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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the centre of transforming how people data is used across the institution, driving evidence‑based decision‑making and embedding a strong data culture. Key Responsibilities These include leading the People
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data governance, and contribute to policy and ethical frameworks for responsible AI use. Skills and experience required We are seeking an accomplished AI researcher with substantial experience leading
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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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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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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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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