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of education and experience. Experienced in machine learning and software development in research and production environments. Extensive Python experience, including knowledge of numpy, pandas, Tensorflow and/or
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) in Geography, Environmental Science, Earth Systems Science, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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limited to: Conducting statistical analysis of PFAS in groundwater data. Performing spatial data analysis using orbital or airborne images and GIS tools. Reviewing and compiling relevant literature
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. Experienced in machine learning and software development in research and production environments. Extensive Python experience, including knowledge of numpy, pandas, Tensorflow and/or Pytorch. Extensive