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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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Institute of Geography and Spatial Organization, Polish Academy of Sciences | Poland | about 17 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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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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by logging into their existing Workday employee account. Position Summary: Florida Atlantic University is seeking a GIS & Spatial Data Specialist - Boca Raton, FL. The GIS & Spatial Data Specialist
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to agriculture, soil, water, environment, or engineering Experience with GIS, R, Python, Matlab, and similar advanced software platforms is desirable Experience with data organization, data management, and data
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to agriculture, soil, water, environment, or engineering Experience with GIS, R, Python, Matlab, and similar advanced software platforms is desirable Experience with data organization, data management, and data