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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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. The Davies Lab draws on the fields of community and ecosystem ecology, animal behavior, and remote sensing to explore multiple facets of animal-ecosystem interactions. We are part of Harvard’s Department
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spatial analysis experience, and the ability to integrate climate, statistical modeling, remote sensing, and social survey datasets. The selected postdoctoral fellow will investigate: Mechanisms connecting
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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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Blesh and a team of interdisciplinary researchers in agroecology, biogeochemistry, microbiology, geography and remote sensing to assess relationships between agricultural management systems, soil health
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Functions Develop methods using hydrological and sediment models, remote sensing, data assimilation, and machine learning techniques to simulate suspended sediment in the Arctic rivers. Present research
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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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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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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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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