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for the Libraries GIS instruction program at both undergraduate and graduate level. The Libraries provides a central place to the university in teaching, managing, and distributing geospatial information, as
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. The University of North Georgia Institute for Environmental and Spatial Analysis (IESA) is currently accepting applications for a student worker. The Student Assistant will primarily support Geography, GIS
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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addition to the B.A. in Geography, the department offers an Environmental Analysis concentration, and certificates in Geographic Information Systems (GIS) and Geospatial Technologies. Further information about the
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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experience (3+ years) with remote sensing, including satellite imagery processing and analysis, GIS, and geospatial computing ● Strong general computational skills and advanced proficiency programming in
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
Visualization Geospatial Analysis: Apply expert knowledge of Geographical Information Systems (GIS) for strategic data interpretation, designing and producing sophisticated, high-impact geospatial visualizations
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and conducting interviews for qualitative research purposes Some experience with geospatial skills, including experience with GIS software and geospatial data analysis Desired Qualifications* Experience
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., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models
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the Laboratory of Geo-information Science and Remote Sensing is an interdisciplinary research group focused on integrated approaches to geospatial systems analysis. Our work applies a complex adaptive systems