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Field
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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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. Experience in project coordination and change management. (Preferred) Exposure to data analysis using Python, R, or Geographic Information System (GIS) tools, and/or cloud computing solutions. More Information
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Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets. Additional Qualifications Proficiency in statistical software (R, Python, etc.), and
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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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programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of
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with the R programming language, geospatial python libraries like geopandas, and GIS software like QGIS. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass
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well as pediatric malignancy. The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the
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field preferred. •Experience with GIS-based programming (Python, Arcade), and application development experience in web/desktop environment (e.g., R, JavaScript, Python, CSS, and Tableau); and vector
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and