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dynamics, and overall soil functionality under different pedoclimatic conditions. The post-doctoral research will integrate detailed soil profile characterization, laboratory analyses of physical and
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is embedded within the Laboratory of Geo-Information Science and Remote Sensing (GRS), which is led by Prof. Kirsten de Beurs and Prof. Sytze de Bruin Where to apply Website https
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the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities. The successful candidate will conduct advanced research at the intersection of artificial intelligence and
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interdisciplinary consortium of researchers in Germany and Luxembourg, from atmospheric, agricultural, and soil sciences, bio-geo-physics, hydrology, and neuroinformatics, proposing a novel combination of advanced
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at andreas.mulch(at)senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https
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performance and contributions to the research activities of the Geoinformatics and Earth Observation (GEO) research group. The department of Sustainability and Planning wasestablished in 1975, and is located in
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interdisciplinary consortium of researchers in Germany and Luxembourg, from atmospheric, agricultural, and soil sciences, bio-geo-physics, hydrology, and neuroinformatics, proposing a novel combination of advanced
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation
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of risk management, and remain poorly understood, even within the physical and engineering sciences communities. This project will investigate the environmental, technical, social, legal, and policy
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-driven, machine learning approaches. The biomass data product will be validated by data from an international network of ground-truth forest sites (GEO-TREES, geo-trees.org). The developed algorithms thus