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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language GIS Data Technologist Job ID
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environmental modeling, including groundwater mapping and evapotranspiration projection. Strong skills in GIS, spatial analysis, and programming languages such as Python, and MATLAB, Res2dinv/mod, Res3dinv/mod
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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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, along with a strong technical foundation in GIS for facility and infrastructure mapping. Essential Job Duties Document and Data Management Oversee the organization, archiving, and retrieval of project
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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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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 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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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