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research mentors. Responsibilities Programs in Stata, Python, R, or MATLAB to analyze data using econometric tools. Collaborates with research team to develop economic models for projects. Cleans and
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skill in using Python coding language required, SQL and R Ability to code, access, transform, and socialize data Demonstrated and relentless commitment to public education, social justice, and equitable
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. Bai and Leong, including Collecting data Creating computational models Designing experimental stimuli Coding experiments (in Qualtrics, JavaScript) Analyzing data (in R, Python) Preparing research
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must demonstrate moderate-to-advanced programming skills with R and/or Python and must have demonstrated experience with GitHub High verbal and written competence in English Preferred Competencies Should
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Technical Skills or Knowledge: Experience developing in one or more scripting languages, preferably including Python and Bash, to automate, monitor and maintain infrastructure. Experience with Linux
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, such as R, Python, SAS, SPSS, Stata, etc.; a successful applicant will have the ability to work effectively in a multidisciplinary collaborative environment. Responsibilities Assists in analyzing data
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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or Knowledge: Strong background in Python; data analysis tools (pandas, xarray), climate data storage formats, such as NetCDF and Zarr. Familiarity with version control (git). Basic skills with geospatial and
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experience with Linux, Python, and at least one additional programming language. Proficiency in software development best practices, including version control (Git) and CI/CD pipelines. Experience working with
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computer science. Experience: Experience in python including torch and scikit-learn libraries – preferred with experience in working with image data or unstructured text data with large language models. Preferred