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Field
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Qualifications Five or more years of experience using programming and data-analysis tools such as Python and/or R. Experience with UAS imagery, satellite remote sensing, GIS, or other geospatial datasets
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, Python, GitHub, fieldwork, laboratory workflows, or grant/manuscript development. Experience with R, Git/GitHub, phylogenomic or population genomic workflows, GIS/spatial analysis, herbarium curation
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recognized leader in cartographic design, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research
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scenarios. The researcher will develop profit–risk–environment tradeoff products, build reusable R/Python workflows, and publish and present results in collaboration with USDA-ARS and university partners
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Previous Job Job Title Post-Doctoral Associate: Khoruts Lab, GI Division Next Job Apply for Job Job ID 375581 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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expertise in ecosystem service valuation frameworks (e.g., InVEST, natural capital accounting, non-market valuation). ○ Advanced spatial analysis capabilities in GIS (ArcGIS, QGIS) or spatial programming in R
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, ideally including causal inference or panel-data methods Programming proficiency in R, Python, and/or Stata Strong written and verbal communication skills Ability to work both independently and
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, ideally including causal inference or panel-data methods Programming proficiency in R, Python, and/or Stata Strong written and verbal communication skills Ability to work both independently and
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical