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advancing your own research and lecturing/supervision skills? If so, we invite you to read on! The Geo-information Science team within the Laboratory of Geo-information Science and Remote Sensing (GRS) is an
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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure
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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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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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coordinated Focus Unit Project (FUN) within the TERRA (Terrestrial Geo-Biosphere Interactions in a Changing World) excellence cluster (www.terra-cluster.org ), a collaboration between Senckenberg and the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 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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addition to conventional mineral resources R&D, GSMI places emphasis on developing the mine of the future, which includes areas such as geo-mineralogy of mineral resources, circular economy, resource governance, sustainable
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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
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tasks, in the Department of Civil, Environmental, and Geo- Engineering. The successful candidate will interact with, lead, and assist graduate and undergraduate students in the research group. 90
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methods (e.g., deep learning, generative models, representation learning) ● Experience working with large public biological datasets/repositories (e.g., GEO, SRA, UK Biobank, GTEx, etc