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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
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: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and 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