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welcomed, valued and appreciated. Postdoctoral scholars and fellows are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion apply. For more information
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welcomed, valued and appreciated. Postdoctoral scholars and fellows are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion apply. For more information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Posting Information Posting Details Department Earth Marine Environmt Sci - 318000 Posting Open Date 08/26/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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queries, and dashboards Familiarity with (biomedical) image processing Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large
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the Project HOPE 1000 pregnancy cohort, a large, longitudinal study based in Durham, North Carolina, to investigate how prenatal and early-life environmental exposures influence immune-related outcomes during
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statistical analytical techniques with both large and small data sets is required as well as Institutional Review Board (IRB) training. Knowledge of learning theories, instructional theories, or advanced
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& Responsibilities Conduct cross-sectional and longitudinal data analysis using large national datasets. Contribute to the development and implementation of simulations models to evaluate policy outcomes. Conduct
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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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torques to the wearer. The successful candidate will have clinical trial and human subjects experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human
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Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data collection and processing for lab and field based studies of back assisting wearable robots. The Research