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population-level outcomes. Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims (MedPAR, Outpatient, Carrier, TAF). Develop reproducible code and
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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
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development in adolescence, with a focus on mood conditions and risk for self-harm. Opportunities may include working with large data sets focused on brain development (e.g., ABCD study), incorporating designs
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of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene expression, proteomics, or metabolomics
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/Statistics Internal Number: JR101137_1774276539 The Data Science and Statistics Program at the University of Richmond invites applications for a two-year postdoctoral research position in the Distant Viewing
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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the Atmospheric Chemistry Experiment Fourier Transform
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) in the social sciences, as of 1st August 2026, or by arrangement. The position is embedded in a large interdisciplinary research project, ICARUS, that investigates individual vulnerability, behavioral
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grants, and lately large collaborative NSF ERC grants. For more information about the Chemistry Department of the University of South Dakota, please go to the website at www.usd.edu/Academics/Colleges-and