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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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have multi-year appointments. Interested applicants should apply online at https://puwebp.princeton.edu/AcadHire/position/40522 and submit a CV, cover letter, and contact information for three references
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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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generates and analyzes high-throughput multi-omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias
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by logging into their existing Workday employee account. Position Summary: The laboratory of Dr. Lucia Carvelli at the Stiles-Nicholson Brain Institute (http://www.ibrain.fau.edu/lucia-carvelli.php
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contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level variability; 4) collaborating with others at NOAA's
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is available in the School of Mathematics at the University of Minnesota. The position is supported by the Burroughs Wellcome Fund to explore multi-scale dynamics in the brain, and will focus
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
ecosystem services. By synergistically combining passive/active multi-scale remote sensing data with mechanistic biogeochemical and hydrological models, this research aims to address critical knowledge gaps