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software (e.g., R or Python). Google Earth Engine and cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S
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research, or related quantitative methods. Proficiency in at least one statistical programming language, such as R, Python, or Stata. Experience integrating individual-level data with state, county
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and processing of complex data sets Ability to program in Python, R, or Matlab Ability to plan and anticipate actions according to changing priorities and deadlines Strong communication and
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: Proficient in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim, BERTopic, TensorFlow
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; Perform other duties and provide additional support as assigned. Knowledge, Skills, and Abilities: Proficient in data analysis, modeling, machine learning, and AI, using Python and SQL, with
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experience; Perform other duties and provide additional support as assigned. Knowledge, Skills, and Abilities: Expert in data analysis, modeling, machine learning, and AI, using Python and SQL, with
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professional career; Perform other duties and provide additional support as assigned. Knowledge, Skills, and Abilities: Advanced in data analysis, modeling, machine learning, and AI, using Python and SQL