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computing, and (5) a willingness to collaborate and contribute to the Economics faculty member?s research. Knowledge of statistical programs that are used to deal with large datasets such as SQL, R, Stata
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software like Python or R) to analyze data • Strong interest in education research • Ability to work independently or as a member of a team Competencies: Experience with data management and statistical
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, including topics such as the need for registration of pre-analysis plans. Expertise in at least one (1) statistical programming language (i.e., R, Python, Stata, SAS, or similar). Strong communication skills
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quantitatively analyzing big real-time data, strongly preferred. Programming experience in Stata, SAS, R and/or Python. Strong quantitative skills. Excellent conceptual understanding of economic models and
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Proficiency in Stata, R , Python and SQL Knowledge of current and emerging trends in advanced statistical analysis Knowledge of epidemiological methodology Additional physical demands and working conditions
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methods, particularly for analyzing RNA-seq data and mapping RNA modifications. Programming and Software Development: Advanced proficiency in programming languages such as R, Python, and/or other
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variety of build and installation tools (e.g. CMake, Makefile, scons, autoconf) Experience with building, configuring and deploying complex research software (R, MatLab, etc) Software development experience