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physics-based machine learning for land cover forecasting. Intended use of these capabilities include urban planning, hydrological modeling, and wildfire risk mitigation strategies. In addition to model
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multiple Earth system models. The researcher will also evaluate the performance of the Energy Exascale Earth System Model (E3SM) land model (ELM) in Southeast forests using observational data, and execute
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outputs from multiple Earth system models. The researcher will also evaluate the performance of the Energy Exascale Earth System Model (E3SM) land model (ELM) in Southeast forests using observational data
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new discoveries for humanity, while working on some of the most exciting problems with ground breaking technologies. This position is part of the Advanced Technologies Section within the National Center
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). As part of our team, the Senior Program Manager will pursue new funding opportunities to perform ground-breaking research and development efforts aimed at enhancing the resilience of critical
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investigating the effects of natural and engineered materials on the stabilization of mercury (Hg) in contaminated environmental media (air, soils, sediments, water). The successful candidate will focus
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-defined radios, and RF over fiber providing a wide range of research opportunities and reaching a broad array of sponsors. The Resilient Communications group at ORNL has also recently installed a ground
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security. Major Duties/Responsibilities: Work closely with research scientists and engineers to solve complex problems using uncrewed vehicle technologies to include aerial, ground, surface, and underwater
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administrative boundaries, census statistics, land use/land cover data, Earth Observation, and infrastructure data. Experience developing land-use/land cover and infrastructure projection models for population
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learning frameworks, uncertainty quantification, machine learning and inferencing, and land use/land cover characterization to inform geo-demographics. The Human Geography group supports Federal missions