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Field
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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
USNH Employees should apply within Workday through the Jobs Hub app As part of the Earth Systems Research Center within Earth, Oceans, and Space, NH GRANIT is the state of New Hampshire’s GIS
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creative and interdisciplinary thinking. Strong programming skills in R, Python, Stata and/or SAS, GIS or other relevant software. Excellent oral and written communication skills. Track record of published
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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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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
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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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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
-
: 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