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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Big Data
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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. Experience with quantitative methods and data analysis. Applications and Inquiries Applications can be submitted online via https://apply.interfolio.com/184157 . Application materials should include a
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), Phoenix Children's Hospital, Banner Health, Dignity Health, HonorHealth, and the Phoenix VA Health Care System. About Arizona State University ASU is a large, comprehensive, research university and for
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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Science Lab is seeking a highly-motivated postdoctoral scholar to lead a large-scale, community-based, clinical trial of behavioral treatment for childhood obesity. The Solutions Science Lab designs
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environment spanning the Department of Biostatistics, the Brown Data Science Institute, and interdisciplinary collaborators at Harvard University, Fred Hutch Cancer Center, and across clinical and public health