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Field
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Python, R, Stata, and/or SAS. In addition, the Senior Data Analyst should have experience building and managing SQL databases, preferably in Microsoft SQL Server. The position works directly with leading
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sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products. The Post-Doctoral Associate will
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related programming field. Strong experience with Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications
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and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a
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quantitative data analysis using R and/or Python. Familiarity with GIS software (e.g., QGIS, ArcGIS) and spatial data analysis. Interest in ecological modelling, biodiversity conservation, remote sensing
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Sensing, Conservation Biology, Data Science, or a related field. Experience in ecological modelling, spatial ecology, biodiversity assessment, or remote sensing. Proficiency in R and/or Python, GIS, and
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including RF design, device configuration, licensing, maintenance, and troubleshooting of wireless access points. May assist with CEN’s fiber network monitoring, documentation, administration, and GIS mapping
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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developing and teaching spatial methods, especially desktop GIS, R, and Python strongly preferred. Desirable Qualifications: Interest/experience in spatial AI approaches. Comfort with research project
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-animal interactions Exposure to quantitative methods (statistics, data analysis) or qualitative methods (ethnographic research, content analysis) Experience with Excel, R, Python, or GIS tools (not