Working across disciplines such as psychology, neuroscience, computer science, economics, and sociology, we do research within a context that fosters academic freedom, curiosity, and collaborative work to generate insights that help shape living conditions for individuals and societies to thrive. * Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. * Integrate autonomic measures with neuroimaging and/or molecular data to probe mechanisms. * Collaborate within a multidisciplinary team and and supervise , students, and junior staff. * Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets.
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