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Field
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windows operating systems. C2. Strong technical skills in various GIS, remote sensing, data management and statistical analysis software (e.g. ArcGIS, QGIS, Python, R). C3. Strong programming skills in
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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Developer, and GIS Data Specialists to streamline workflows, enhance data quality, and drive efficiency in a fast-paced, cloud-centric environment. The position reports to the data products leader. What We Do
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and toolboxes. Skills in Windows programming, C/C#/C++/Java/Python, Matlab and/or IDL, embedded systems with GIS concepts, Linux and SQL. Ability to apply advanced math concepts, understanding basic
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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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(GIS), data analysis and visualization software, database management tools, applications for complex statistical analysis, and intermediate level programming. The position is full-time and offers State
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entails the development of heuristic and metaheuristic algorithms, as well as GIS map integration, for the most effective management and suppression of wildfires. You will work in an international team
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job discipline. Certifications: --- Preferred Qualifications Education: Master’s degree in data science or related field. Experience: Experience with geospatial analysis and visualizations (GIS
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modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics, environmental history, and
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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