34 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions at Zintellect
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participating in geospatial data gathering, utilizing GIS software, map making, and back-end geodatabase management. Where will I be located? Fort Huachuca, Arizona What is the anticipated start date? The USAEC
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Science, Engineering, Business, Data Science, Data Visualization). • Demonstrated experience in data visualization – dashboards (tableau, R shiny, etc.) • Demonstrated experience in GIS and spatial mapping
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in statistical programming (R, Python, Julia, MATLAB). Familiarity with GIS and spatial analysis tools (ArcGIS, QGIS, or R spatial packages). Ability to integrate multidisciplinary datasets
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modeling tools, especially in Python (e.g., EPANET, Water Network Tool for Resilience - WNTR, EPA SWMM, pipedream). Knowledge of geographic information systems (GIS) data and analysis for water
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) 998-4606 Questions about this opportunity? Please email npp@orau.org Qualifications Background in engineering, computer science, or a similar field. Background in software tools such as Matlab, Python
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settings. Experience in data management, GIS, or ecological modeling is desirable. Ability to contribute to scientific writing and communication (reports, manuscripts, presentations). Strong skills in
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. Experience in statistical packages (SAS), R, Python, or similar programming skills. Point of Contact Janeen Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree. Discipline(s
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interpretation through deep learning model development using Python and MATLAB. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: developing
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experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty
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Earth Observation missions (e.g., MODIS, VIIRS, SMAP). Expertise with libraries and tools like GDAL, Rasterio, GeoPandas, and QGIS/ArcGIS is essential. Programming Proficiency: Advanced skills in Python