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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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remote sensing and UAV flight operations. Proficiency with photogrammetry and GIS software (e.g., Pix4D, Agisoft Metashape, ArcGIS, QGIS). Strong data analysis skills using Python, R, or similar analytical
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analytics, remote sensing, GIS, and/or hydrology to join our team. This multi-institutional research program spans five institutions across the state of New Mexico including collaboration with Sandia National
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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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. 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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months 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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tools such as R, Python, GIS software, and photogrammetry platforms to generate reliable plot-level phenotypic datasets suitable for plant breeding analysis. 15% – Training, Documentation, and