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Qualifications Five or more years of experience using programming and data-analysis tools such as Python and/or R. Experience with UAS imagery, satellite remote sensing, GIS, or other geospatial datasets
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agriculture, and data-driven decision support. The position involves field experimentation, field and laboratory data collection, spatial and statistical analyses, GIS mapping, and support for ongoing research
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab
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crop production practices. Experience working with GIS, remote sensing, spatial databases, and geospatial web services. Experience with cloud computing platforms. Experience with Python, JavaScript, R
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows