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Field
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a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be
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tools: Tableau or PowerBI. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Advanced proficiency in at least one of the following programming languages: R or Python. Physical Requirements
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development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with state agencies, and other universities
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, particularly using MODFLOW. Demonstrated experience with scenario development and model-based analysis of environmental systems. Proficiency in programming or scripting languages (e.g., R, and Python
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, or a comparable field Strong interest in the energy transition, energy technologies, and the role of green hydrogen Initial experience in data analysis and programming using Python and GIS-based tools
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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administration, geospatial analysis (GIS and/or remote sensing), and processing of field data. Additionally, this position will play an active role in Outreach & Engagement activities that span our campus research
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methods to economic and environmental problems; Knowledge of STATA, R, Python and/or other relevant programming skills for undertaking applied analysis (e.g. machine learning) and handling large
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data storage; Maintain databases used for sensor data management and publication; Develop and maintain an online data storage and visualization server; Create and maintain a GIS platform for real-time
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and husbandry of snails or similar organisms in an aquaculture or laboratory setting. Strong data analysis skills (e.g., R, Python, GIS). Excellent organizational and project management abilities