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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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, processing, and storage, and data analysis. Strong data analysis/visualization skills in R are essential. Required skills / qualifications: Bachelor’s Degree in Psychology, Business, or similar quantitative
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experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff are entitled to university
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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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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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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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. Python, C++, R, MATLAB, Julia). Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience working with large datasets and
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expertise in one or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing