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combination of these software/modeling tools (e.g., Google Earth Engine,. HEC-RAS, RAMMS, GeoClaw, COSI-Corr, SfM) and Python/R programming for data analysis. • Experience in using/analyzing climate data
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond! Point of Contact Alyson
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-based image analysis and feature extraction, SWAT, Google Earth Engine, ERDAS IMAGINE, ENVI, R, and/or Python. Analytical ability to include geospatial mapping and data analytics skills using ArcGIS Pro
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to conflict of interest. If you are interested in being part of next year’s committee, please fill out the following Google form: https://docs.google.com/forms/d/195KIEUMr9beb4nTCdkqEYv8u64DGwBrThO85CGlUSPQ
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models, and empirically test those models with integrated and fused data. Development of data-serving APIs is also part of the work plan and duties for the candidate. The candidate will play a vital role
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
tools for data analysis. 4. Computer programing skills for remotely sensed data analysis. 5. Sound knowledge of remote sensing physics. 6. Experience working with ArcGIS Pro and Google Earth Engine
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battery performance. Relevant publications are available at his Google Scholar page . Applicants do not need to be US citizens. The start date is flexible, with a goal of Summer to early Fall, 2024
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: Special Message to Applicants: You can learn more about Professor Xu’s work and the research groups’ activity from links below: Google Scholar Faculty Bio The Environmental Interfacial Chemistry (EIC) Group
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extensive experience developing electrochemical models and simulating battery performance. Relevant publications are available at his Google Scholar page . Applicants do not need to be US citizens. The start
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Science and of Surgery at the Yale School of Medicine. Dr. Kuo is experienced in biomedical blockchain and predictive modeling field with 90+ publications and 3,800+ citations in Google Scholar. Dr. Kuo