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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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, such as Matlab, Python, R, Stata and GIS. Preference will be given to those with experience in handling large-scale gridded datasets (e.g., spatial panels and raster data) and proficiency in Python for data
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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. Experience in GIS (Geographic Information System). Experience with data programming like Python and R. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition
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. Experience in GIS (Geographic Information System). Experience with data programming like Python and R. Work Authorization Requirement: This position is not eligible for visa sponsorship. Candidates must be
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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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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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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
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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