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ATSDR's mission to protect communities from harmful environmental exposures. You will have a chance to participate with Simulation Science Section (SSS), Toxicology Section (TS), and Geospatial Research
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Proficiency in Python for geospatial data handling, model workflows, and scientific computing Strong communication skills and enthusiasm for interagency scientific research Application Requirements A complete
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the guidance of a mentor, you will learn about (1) geospatial processing and ML/AI methods and (2) how to contribute to SCINet and the ARS AI Center of Excellence community by developing and publishing workflows
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site history and community demographics, and coordinate with ATSDR's Geospatial Research, Analysis, and Services Program (GRASP) to develop site-specific maps that identify populations potentially
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meteorological, snowpack, and avalanche datasets using statistical, geospatial, and programming tools (R and Python). Calibration, evaluation, and application of snowpack and hydrologic models (e.g., SNOWPACK
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management, wildland fire science, and quantitative plant community ecology. Experience analyzing large data sets with statistical programs such as R or SAS or geospatial programs such as ArcGIS Pro. Ability