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Field
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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fault traces visually in the remote images and topographic data and reproduces these traces as hand-drawn lines in a Geographic Information System (GIS) environment. These environments allow fault
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languages for data handling, treatment and analysis (e.g. R, Python). • Experience in writing technical reports, scientific articles and other dissemination materials. • Excellent knowledge of English, both
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well as reservoir geology and geophysics in the context of various geoenergy applications (hydrocarbons, geothermal energy, CCS, UHS) Expertise in GIS-based geodata management Expertise in the creation of reservoir
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and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models
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librarians and staff , including those involved in GIS, Robotics, Makerspace Labs, the Teaching and Learning department and specialized subject librarians. The ideal candidates will demonstrate strong
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. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Proficiency in at least one of the following programming languages: R or Python. Other Requirements or Other Factors: May travel to sites for field
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candidate who has: A PhD in hydrology, environmental engineering, environmental science, geography, ecology, or a related field Strong experience in hydrological modelling Proficiency in R and/or Python
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to script and program work flows in C++ and python and understanding and use of remote sensing and GIS programs is essential. Demonstrated experience utilizing a cloud computing environment such as AWS
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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