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Field
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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(GIS), data analysis and visualization software, database management tools, applications for complex statistical analysis, and intermediate level programming. The position is full-time and offers State
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topographic indices as environmental variables for mapping, and satellite data for weather. The doctoral student will be part of a broad research group with expertise in GIS, AI, soil science, forest ecology
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job discipline. Certifications: --- Preferred Qualifications Education: Master’s degree in data science or related field. Experience: Experience with geospatial analysis and visualizations (GIS
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using Microsoft Excel and/or programming languages such as R, Python, or MATLAB, with an emphasis on hydrological, agronomic, or environmental datasets. Familiarity with evapotranspiration estimation
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modeling, database design, SQL, CAD, and GIS. Proficiency in at least one of the following programming languages: R, Python, VB. NET. Licensed to fly small, unmanned aircraft systems under 14 CFR Part 107
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, organize, and coordinate department projects. Provide oversight for training on GIS to field personnel. Core duties: Manage geospatial systems for Forestry and Natural Resource Management division: -Manage