Research Assistant (m/f/d) * Possibility of further academic qualification (e.g., doctorate or habilitation) * Confident use of modern collaboration and project-management tools; ability to streamline communication and keep projects transparent and well-organized (e.g., shared drives, task boards, Slack / Teams, version control) * Good command of statistics and quantitative methods (e.g., linear / mixed-effects models, power analysis), with analysis and visualization in R, Python or SPSS (or other) * Advantageous: experience with survey / panel platforms (e.g., Qualtrics / SoSci, Prolific) and reproducible workflows (clean documentation, Git)
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