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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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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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statistical software (R, Python, SAS, or similar); English proficiency for reading, writing, and presenting; full-time residence in Piracicaba. Desirable requirements Experience with large datasets and metadata
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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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)design; integrating multi-source datasets, including street-view imagery, GIS data, smartphone mobility data, and qualitative insights; applying and adapting state-of-the-art foundational AI and machine
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skills Proficiency in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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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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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