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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months 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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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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-accredited BS degree in engineering with concentrations in civil and environmental, geo-environmental, and electromechanical systems. JMU’s engineering major is characterized by experiential learning
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analysis. Economic geology and mineral exploration. Geochemistry and geo‑metallurgy. Modeling and integration of geological, geophysical, and geochemical data. Within the Sulfur 360° initiative, GSMI works
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postdoctoral fellow in philosophy). This position will be affiliated with the Geo-Ecology Research Group (GEco) at the Natural History Museum (NHM), led by Professor Olav Skarpaas. The postdoctoral fellow will
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statistics, and a postdoctoral fellow in philosophy). This position will be affiliated with the Geo-Ecology Research Group (GEco) at the Natural History Museum (NHM), led by Professor Olav Skarpaas
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related discipline Research experience in analytical geo- or cosmochemistry Experience with high precision isotope analyses of geological samples and clean laboratory environments Highly self-motivated
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(GEO), and Global Studies Institute (GSI). The University of Oregon (UO), a member of the Association of Pacific Rim Universities and the Global Sport University Network, is one of only two Pacific
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of each of these research environments, NORCIE will provide core international economics, geo-economics, geopolitical, and international relations insights – combining heterodox methodologies spanning
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software