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Field
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relations, and environmental justice. Position Overview: The successful candidate will contribute to an innovative study that integrates GIS mapping, data analytics, policy analysis, and community-based
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
. This research may include analysis of regional and global stress fields for fracture formation. Mapping using Geographic Information Systems (GIS) tools can be used to constrain the mechanisms and stresses
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at an academic level in English are required. Experience in modeling biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis
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communication skills Ability to work in a team setting and be self-motivated Other Requirements: Established publication record in peer reviewed journals Preferred Qualifications: Experience with GIS, UAV data and
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biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis) are meritorious, as are skills in Swedish. About us The position is
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, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google Earth Engine
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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-information Science in BSc and MSc courses offered by the GRS chair group. Guide students through practical exercises that apply GIS concepts using various open- and closed-source software solutions. Introduce students
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. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Proficiency in at least one of the following programming languages: R or Python. Other Requirements or Other Factors: May travel to sites for field
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maximum of six hours per week. About you You will have a PhD (or near completion) in a relevant discipline (e.g. geography, GIS, data science, public health, or a related field) or equivalent research