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(e.g., laser scanning, optical satellite imagery, radar, UAV, or aerial imaging). Strong programming and data analysis skills (e.g., Python and/or R), as well as proficiency in GIS software and
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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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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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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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)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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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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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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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and