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GIS course focused on emerging technologies and analytical techniques in geospatial science. This course will incorporate cutting-edge tools such as Python for GIS, machine learning for remote sensing
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. Proficiency in R (or Python or Stata), including experience with data management, spatial analysis, geocomputation. Experience working with large, complex datasets, including Consumer Reference Datasets (CRDs
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Skills: Proficiency with ArcGIS, AutoCAD, Civil-3D, MATLAB, Python, R, MS Excel. Ability to create and analyze maps using GIS software. Experience operating agricultural and construction equipment
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. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication Additional Information: Location: Pelotonia Research Center (1040
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, Python, and shell scripting; recruits research participants; maintains participant database; develops outreach letters; develops project materials (training manuals, presentations, observation codebook