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practical exams. Assist with weekly data analysis, including: uploading and collating undergraduate data formulating and inputting equations for appropriate data transformation graphing with Excel and R
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inputting equations for appropriate data transformation • graphing with Excel and R • creating, editing, updating in real-time R-shiny apps associated with lab exercises • running statistical analyses of lab
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packages, including STATA, SAS, and/or R • Knowledge of standard internet tools and HTML • Familiarity with standard political science, economics and/or sociology data sources The successful candidate must
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receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least one of these being an academic/research reference
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cover letter will not be considered. Applicants who receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least
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previous experience managing and analyzing quantitative data using sophisticated statistical or computer programming techniques. Proficiency in R is required. Previous experience with Python, ArcGIS, web
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research projects. - Collecting, processing, and analyzing data using R and/or Python. - Providing other support and assistance as needed at a busy new initiative. Required Qualifications: • A master’s
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statistical techniques in R or STATA Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex
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development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and community orientation Review
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- Programming, statistical, and/or web development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and