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, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study processes
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
candidate who is eager to contribute to both scientific research and practical impact. You have: A Master’s degree in Geoinformatics, GIS/Geospatial Technologies, Architecture/Built Environment, Information
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experience using programming and data-analysis tools such as Python and/or R. Experience with UAS imagery, satellite remote sensing, GIS, or other geospatial datasets. Experience with agricultural production
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) the following tools: REDCap, Python, R, Qualtrics, SAS , SPSS , NVIVO , Stata, or MATLAB . Required License/Registration/Certification N/A Job Summary University of Kentucky Libraries is vital to
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interdisciplinary research in remote sensing, GIS /GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational
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written and oral communication, and collaborative skills. PREFERRED QUALIFICATIONS Programming skills in Python and/or R, including experience developing reproducible and well-documented analytical
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labelling Proficiency with relevant mapping, drafting, GIS, and/or structure-from-motion software is strongly preferred Good written and oral communication skills, including the ability to contribute to
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record of peer-reviewed publications Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote
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, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python, R, MATLAB) for data processing