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collected maternity data in the UK is fragmented across multiple clinical systems, as well as neonatal, community and outcome datasets. These systems were designed for clinical care rather than research, use
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Show all breadcrumbs Postgraduate Research Associate – Empowering People with Diabetes with Patient-Generated Health Data for Safe, Effective, and Sustainable Lifestyle Change Thursday, December 11
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Applications are invited from early-career postdoctoral researchers who can demonstrate an established track record in big data analytics within the field of substance use. The two-year full time
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data science. The successful candidate will join a collaborative and interdisciplinary research team to contribute to cutting-edge research at the intersection of AI/ML, real-world data, and health
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, systems and applications in research. The DSI executes the University of Chicago’s bold, innovative vision of Data Science and AI as a new discipline by advancing foundational and interdisciplinary
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the Yale School of the Environment’s initiative in Environmental Data Science. The successful candidate will contribute to data-intensive research on the environment and individuals’ or society’s
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include physical activity and the gut microbiome. Research activities encompass primary data collection and secondary data analyses in large cohorts, including large-scale mobile data collection. The
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research involves conducting both primary data collection exploring new methods for measuring optimism (or other psychological attributes), as well as secondary data analyses in large scale ongoing cohorts
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research involves conducting both primary data collection exploring new methods for measuring optimism (or other psychological attributes), as well as secondary data analyses in large scale ongoing cohorts
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topics. Universities and research institutions cannot store all possible datasets for their researchers, and instead focus on data management for their institutionally produced data. This does not meet