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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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duties as required. Required Education and Experience PhD in Agricultural Economics Preferred Experience Experience with econometric and business management research methods and analysis Experience with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
, particularly in analyzing natural radio emissions (e.g., Jovian DAM or planetary magnetospheric emissions) Proficiency in time-series analysis, spectral estimation, and autocorrelation methods applied
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Responsibilities: Analyze variety of engineering problems using traditional analytical methods and finite element analysis packages to prove designs meet established design standards. Provide hand calculations
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neuroimaging methods to investigate the cognitive and neural mechanisms of episodic memory and how they change in healthy and pathological aging. Our lab investigates cognitive and neural mechanisms of memory
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and future climate scenarios—including counterfactuals—and integrating them with health surveillance and related data to estimate climate-attributable risk under Deep Uncertainty. The candidate will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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on the developing and applying methods for estimating the causal treatment effects on health outcomes in older adults, with an emphasis on dementia. The Mission of the P-HOPER Center is to conduct innovative
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of Hydrology and Atmospheric Sciences. The postdoctoral researcher will investigate remote sensing methods to estimate whole ecosystem scale transpiration at the Landscape Evolution Observatory (LEO) located
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at the Department of Hydrology and Atmospheric Sciences. The postdoctoral researcher will investigate remote sensing methods to estimate whole ecosystem scale transpiration at the Landscape Evolution Observatory (LEO