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Field
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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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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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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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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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-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
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analysis skills using Python, R, SQL, or similar technologies. Familiarity with GIS platforms for spatial analysis of energy infrastructure and load data is also essential. The candidate is able to manage
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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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(e.g. R, Python, GIS, Modflow, GitHub) Experience with experimental design and complex data analysis Demonstrating ability to work independently Experience conducting research across multiple disciplines
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. At least 2 years of relevant hands-on experience in embedded systems, electronics prototyping, robotics, IoT systems, or sensor-based hardware development. Programming experience in Python, C, C