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Field
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expertise in Geographic Information Systems (GIS), remote sensing and geospatial analytics, urban sustainability, green infrastructure, and/or open space. This position is 75% teaching and mentoring and 25
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but in-person availability preferred. Courses will be taught in R (Quant. Methods-Data-Science-Stats and Data Visualization courses) and Python (GIS and AI courses). Apply only for one course and
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Bachelor's or Master's degree program in Computer Science, Data Science, Engineering, GIS, or a related STEM field. Strong proficiency in a programming language such as Python (preferred) or JavaScript
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with data from different sources, e.g. U.S. Census Bureau. · Familiarity with GIS (Geographic Information Systems) e.g. ArcGIS Pro, ArcGIS 10, or QGIS). · Exposure to programming
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(including, but not limited to, Teams, Word, Excel, and Outlook). Preferred: Familiarity with state of Illinois historic preservation laws, and regulations. Data processing/management, python scripting, GIS
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area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative
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to maintain or change our physiology. They focus on the study of the intestinal tract. Following previous work on the role that the shape of the gastrointestinal (GI) tract plays in health and disease in
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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
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data