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) in Geography, Environmental Science, Earth Systems Science, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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, AMOS, SAS (Statistical Analysis Software), Microsoft Excel (advanced modeling), Python, R Qualitative Analysis Tools: NVivo Geographic & Mapping Tools: ArcGIS, QGIS (Quantum GIS), Google Earth Pro
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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about CEMML’s contributions to land management, our mission, vision, and values, please visit http://www.cemml.colostate.edu/. Position Summary Multiple Resilience Research Specialist positions
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 3 months ago
); 3. Validate thematic and geometric quality (e.g., F1 per class, overall accuracy); 4. Create a structured geospatial database from analogue cartographic sources, prepared for integration into GIS and
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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fields. Additional optional skills and qualifications: Knowledge of coastal geology. Knowledge and experience in programming with Python and in GIS. Availability and motivation to participate in field
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python