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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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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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» BiodiversityEducation LevelPhD or equivalent Skills/Qualifications Proficiency in the Python programming language, inferential statistics and mapping (GIS). Specific Requirements PhD in marine ecology with skills in data
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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
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minimum of one year eligibility remaining. Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational statistics, i.e., unsupervised and supervised ML methods, incl
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of a geographic information system (GIS) for estimating residential exposures and producing geographic databases. 2/ Epidemiological analyses and validation of methods • Develop and apply spatialized