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Sheets. Experience with data cleaning, management, and quantitative analysis using R. Experience in computational text analysis, using machine learning and/or large language models (e.g., ChatGPT
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media, emerging story forms like VR/AR, and mobile platforms. - Data journalism, including data visualization, data coding (Python or R), spreadsheets, public records, and similar tools used for data
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packages such as STATA, SAS, R, and ability to render accurate statistical analysis; Experience and demonstrated success with technical grant writing for impact evaluation and/or global development research
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empirical research in LMICs including supervising data collection and cleaning activities; Experience and competency with statistical software packages such as STATA, SAS, R, and ability to render accurate
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STATA, R, Python, Julia, and/or Matlab and ability to render accurate statistical analysis; as well as proficiency with LaTeX and Github. Familiarity with standard social science data sources, internet
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STATA, R, Python, Julia, and/or Matlab and ability to render accurate statistical analysis; as well as proficiency with LaTeX and Github. Familiarity with standard social science data sources, internet
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requirements: Be a U.S. citizen, national, or permanent resident by the start date due to funding restrictions. Preferred qualifications *Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical