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information science, remote sensing, environmental engineering, natural sciences, or related field with two (2) years of relevant work experience. An equivalent combination of education and experience may be considered
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Qualifications: Experience in surface hydrologic, hydraulic, and reservoir management modeling Experience in using remote sensing data, statistics, spatial analysis, visualization and data management Experience
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data applications, primarily with remote sensing sensors. The proposed solutions will include GPU-based HPC solutions that can be applicable for several geospatially focused research and development
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about different cultures and cultural practices in the U.S. and around the world. Experience in analyzing and interacting with social media, digital trace data, or time series data. Experience with remote
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environments Preferred Qualifications: Hands-on involvement in software systems, data systems, analytics, computer driven distributed data processing, geomatics, image analysis, remote sensing, or geospatial
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scientists, remote sensing scientists, HPC engineers, and geographers to deliver research and development prototypes. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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software systems, data systems, analytics, computer driven distributed data processing, geomatics, image analysis, remote sensing, or geospatial research projects. Experience with spatial enabled databases
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, machine learning scientists, remote sensing scientists, HPC engineers, earth and planetary scientists, and geographers to deliver research and development prototypes. Deliver ORNL’s mission by aligning
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technologies Field, laboratory, or numerical testing of hydraulic structures Geospatial and remote sensing data analysis (e.g., GIS, Google Earth Engine) Machine Learning applications in hydrology/water
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on remote sensing and image analysis. Under the guidance of research staff, the selected applicant(s) will take roles on multidisciplinary teams supporting cutting-edge research and engineering with large