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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 | about 5 hours ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model
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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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-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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topical knowledge about NETs, CDR, GGR, geo-engineering, climate engineering, or SRM. Applicants are encouraged to describe how their work is linked to themes such as deep decarbonization, climate change
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, which includes areas such as geo-mineralogy of mineral resources, circular economy, resource governance, sustainable management of water in mining, and integrated management of mine discharges. Job
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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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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