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area two, which focuses on integration of advanced data science with geospatial technologies to model environmental systems and predict climate impacts. Successful candidates will contribute
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
the combination of socioeconomic data and geospatial information. Experience with the calibration and deployment of low-cost sensors is preferred. Occasional travel may be necessary. Field of Science: Earth
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historical CORONA satellite imagery Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations Apply cutting-edge geospatial and statistical modeling techniques to quantify
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. The post-doctoral research associate will be a key member of the Center of Geospatial Intelligence and Environmental Security research team and will be involved in ecological and agroecosystem change
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qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
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learning applied to geospatial data Experience with Amazon Web Services or other cloud-based computing platforms Special Instructions to Applicants: For full consideration, applications must be submitted
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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to conduct biogeochemical and geomorphological research, including field data collection and analysis using remotely sensed imagery and geospatial data. The scholar will conduct scientific literature reviews
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, Goldberg, and Kerr in order to advance their career in academic research, public health practice, and/or public policy. Important geospatial datasets used for this research include chemical transport