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and analysis Proficiency in using statistical analytical software (e.g., R, SAS) Experience with technical writing and presentation and other professional contributions Physical Requirements & Working
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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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, 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
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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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R&E centers. Primary Division/College College of Agricultural & Life Sciences Primary Unit Plant Sciences Employee Category Faculty Classification Group Title Dept Head/Chair/Director Position Control
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in support of research related to irrigated potatoes, forage, and grain crops at the Aberdeen R&E Center under the general direction of the Farm Supervisor or other staff as designated by
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performing data analysis in R Physical Requirements & Working Conditions May require working with toxic, volatile, and corrosive chemicals and/or carcinogenic substances May require working with Biosafety