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Field
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dynamics. Geo-spatial data handling skills (GIS, scripting, working on NetCDF files etc). Use of Linux machines and compilers, basic scripting in bash and python. Pre- (e.g. mesh generation) and post
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education above and beyond what is required may be substituted on a year-for-year basis. Skills: Proficiency in Tableau and/or PowerBI Knowledge of Python or R Experience with Census data, shapefiles
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, accessibility, and compliance with institutional and regulatory standards. The ideal candidate will have expertise in CAD, Revit, and document control systems, along with a strong technical foundation in GIS
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infectious diseases such as gastrointestinal (GI) infections, respiratory infections and sore throats. Using GI infections as a case study, the project will compare trends in OTC medication sales to other
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: hydrogeology and groundwater modeling Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, Modflow, GitHub) Experience conducting interdisciplinary or community-engaged
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quality analysis, big data analytics, isotopic analysis Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, Modflow, GitHub) Experience conducting interdisciplinary
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, remote sensing, machine learning Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, GitHub) Experience with machine learning, Google Earth Engine, remote sensing
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Python/related web application frameworks. Contributes to a welcoming working environment that fosters diversity and inclusion. This position is designated as a critical or security-sensitive position
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Excel, R, Python, or SQL. Must be proficient in English (oral and written) for effective communication with board members, staff, partners, and the public. Experience managing datasets and supporting QA
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element modeling (preferably COMSOL) is required. The candidate should also have strong computational/programming skills (e.g., Python, MATLAB), and familiarity with geodetic datasets (InSAR, GNSS) and