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, classification, and topic modeling). You are comfortable with programming and analysis in R, including tidyverse, reticulate, tidymodels, etc. You are comfortable programming in Python and working with relevant
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previous work, programming skills, publications, …) a weblink to a short video introducing yourself, contact info of 2 professional referees. The selection committee will review all the applications as soon
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, and a brief (about 1 page, in English) description of your proposed research plan. The selection committee will review all the applications as soon as possible after the application deadline. As soon as
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). You are proficient in at least one statistical or programming language relevant to social science research (e.g., R, STATA, or Python). Having experience with psychophysiological measurements of affect