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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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and programming 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
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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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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field with core training in foundational & applied aspects of AI/ML. Minimum 5 years of professional experience in an academic, scientific, or R&D environment. A proven track record of publishing original
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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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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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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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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