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Field
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development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with state agencies, and other universities
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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Preferred Qualifications Previous research experience in soil sample analysis (e.g. hydraulic conductivity, porosity, bulk density) Experience with GIS programs, including ArcGIS Understanding of global and
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months or 0.8 FTE for 45 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research environment within
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position of 1.0 FTE for 30 months or 0.8 FTE for 37 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research
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the imagery using image processing and GIS software • Watershed analysis using field, lab and open-source data • Facilitating the operation of the Ag. Natural. Resources Information and Management Lab (ANRIM
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development
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synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively
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in analytical tools (e.g., MATLAB, Python, GIS, or similar). Knowledge of AI and Multi-Agent Systems. Proven ability to analyse complex information and summarise appropriately Ability to demonstrate