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Field
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-based analysis, geospatial analysis, predictive analysis, data visualization, data cleaning, and data communication for a wide range of audiences. Modes of Work Positions that are eligible for hybrid
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generate evidence to support data-driven decision-making. Our research spans impact evaluations, large-scale surveys, geospatial analysis, and the application of AI and big data methods for development
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cloud platforms (AWS, GCP, Azure) and containerization tools like Docker. Exposure to GIS, remote sensing, or wildfire monitoring datasets. Familiarity with geospatial data formats (GeoJSON, KML
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on biodiversity and geospatial data, vegetation and other environmental conditions, native seed and herbarium specimen collection, weed mapping and treatment, vegetation and rare plant surveys, and restoration
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geospatial analyses and designing engaging data visualizations. In addition to the national-scale synthesis project, you will have the opportunity to work with a cohort of postdoctoral fellows studying
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, artificial intelligence, computer vision, remote sensing and geospatial data engineering. This position represents a tenure-track position (51% FTE) in the EECS and complements with 49% FTE appointment in IDSI
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communications, digital scholarship, open access, digital humanities, geospatial science, and demonstrating a thorough understanding of trends. Performs other duties as assigned. Special Knowledge, Skills, and
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, ggplot2 or Gephi is strongly preferred. Experience with statistical packages such as STATA, SPSS or SAS, or experience with geospatial analysis software is preferred. Experience with a language such as
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preferred. Experience with statistical packages such as STATA, SPSS or SAS, or experience with geospatial analysis software is preferred. Experience with a language such as Python, SQL, or R. Equipment
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formats, including electronic, print, audio-visual, data and geospatial materials. UTL also boasts impressive holdings of archival material and substantial digital collections, securely preserved in