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Field
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the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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biodiversity datasets with the integration of diverse geospatial and remote sensing data sources to quantify environmental stressors and their impacts on ecosystems. This position offers a unique opportunity to
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must have earned a Ph.D. in wildlife science, landscape ecology, geospatial science, waterfowl ecology, or a closely related field. Preferred qualifications include experience with: GPS telemetry and
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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); Experience in dashboard development and publication of geospatial information through Web Feature Services (WFS); Excellent command of Portuguese and English, both written and spoken. Specific Requirements
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field. Demonstrated experience with satellite remote sensing for large-scale vegetation or forest monitoring, including Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial
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Jersey. This project integrates residential histories, geospatial air-pollution estimates, cancer registry data, medical and pharmacy records, patient-reported outcomes, and circulating biomarkers