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Field
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. Experience with GIS data analysis, data cleaning/curation, and integration of multiple data formats (including CAD). Working knowledge of SQL and relational databases for GIS workflows. Experience with Python
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, and other information using Python (including numpy) and GIS software. Publish codebooks and datasets to allow public access to analysis, and to drive legal and academic scholarship. Coordinate with
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(GIS)and management of raster formats (NetCDF or GeoTIFF). Programming (Python, R or similar) for data processing and process automation. Other requirements to consider: Promoting teamwork and
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: Geographic Information Systems (GIS) and management of raster formats (NetCDF or GeoTIFF). Statistical models (time series analysis, probability distributions). Programming(Python, R or similar) for data
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and geographic information systems (GIS). Familiar with DevOps practices and version control systems (Git). Comfortable with shell scripting (bash) and markup languages (YML, XML, HTML). 5+ years
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) that represents entities such as people, projects, grants, publications, places, and outputs—and models their relationships over time. The position will build robust Python-based ETL/ELT pipelines, implement SQL
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, there may also be opportunities to contribute to MIT courses on urban design, GIS, data visualization, and the relationship between technology (including AI) and the urban environment. A full job
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currently enrolled in a GIS degree or certificate program is preferred. Minimally requires a Master's degree. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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Institute of Geography and Spatial Organization, Polish Academy of Sciences | Poland | about 16 hours ago
their acquisition, processing, and analysis, knowledge of environmental and spatial data formats (including netCDF, GeoTIFF), proficiency in GIS tools (ArcGIS, QGIS), knowledge of statistical methods and time series
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disadvantaged under county‑level payment rules. Your role will involve: Extracting and processing geospatial data from CDL, Sentinel‑2 L2A, NASS QuickStats, NLCD, and Kentucky GIS portals Computing vegetation