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: wildlife ecology, biogeography, conservation science, environmental science, habitat suitability modeling/geospatial analysis, field studies Description: The Institute at Brown for Environment and Society
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing, Integrated Assessment Models (IAMs), and large-scale geospatial data to evaluate and
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projects to align data integration workflows with project-specific needs and technical requirements Develop Geospatial APIs and Containerized Serving Infrastructure: Build and document RESTful APIs (e.g
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the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL
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vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda of this research is assessing the fitness of geospatial indicators to inform conceptual and policy
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, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
or willing to learn geospatial analysis. Self-motivated Willing to pursue research objectives stated in the projects’ descriptions. Quantitively minded A background in Oceanography, Remote Sensing, Meteorology
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine