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Details Title Postdoctoral Fellow in Satellite Remote Sensing of Atmospheric Composition School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Environmental
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Postdoctoral Fellow Advancing Nature-Based Carbon Accounting in Eastern US Forests via Machine Learning and Remote Sensing O’Neill School of Public and Environmental Affairs Bloomington, Indiana Indiana
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validated against historical observations (in-situ and remote sensing) and evaluated against current operational models at CIGLR/GLERL (FVCOM, SCHISM, etc.) Explore the MOM6 coupling framework to provide
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hydrologic-hydrodynamic models and probabilistic methods. Uses computational modeling, operations research, and a wide range of in-situ and remotely-sensed data, analytical and statistical tools/methods
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software such as Photoshop is a strong plus. Must have reliable internet and phone connection to be able to work remotely. The Sanford communications office handles websites, social media, web video
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; education and human resources; global biogeochemical cycles and ecosystems; and radiation and remote sensing. The research may range from theoretical to applied and involve the use of measurement and/or
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; Controls and Robotics; and Electromagnetics and Remote Sensing. The department participates in the CSU Information Science and Technology Center, the CSU-CHILL National Radar Facility, and the NSF
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Postdoctoral Fellow Advancing Nature-Based Carbon Accounting in Eastern US Forests via Machine Learning and Remote Sensing O’Neill School of Public and Environmental Affairs Bloomington, Indiana Indiana
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science, or related disciplines are highly encouraged to apply. The successful candidate will conduct research in the Remote Sensing Lab at Saint Louis University under the supervision of Dr. Sagan. We are looking
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operational algorithms for satellite data analysis, and applying this analysis to airborne and satellite remote sensing data to determine emission rates. It will include participation in airborne measurements