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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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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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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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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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stations, including communications setup (satellite, radio, or cellular). Proficiency in data analysis using Python or R and familiarity with geospatial tools such as GIS and remote sensing datasets (LiDAR
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applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with public health surveillance systems, environmental health data, geographic
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, or extreme weather impacts on health. Experience with quantitative datasets and applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with
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collaborators. These deployments provide a rare opportunity to construct digital twins grounded in operational infrastructure, live data, and scalable computation. This position is not focused on conventional GIS
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statistics. Knowledge/Skills/Abilities A high level of skill in GIS, computer modeling, data analysis using SAS. Good working knowledge of programming languages VB, R, or Python. Knowledge about coastal