Translate biological hypotheses into causal questions using potential outcomes and directed graphs. The practical programme identifies confounding, mediation and collider bias and implements matching, propensity scores, inverse weighting, g-computation and doubly robust estimation. It then develops causal machine-learning approaches, including forests, targeted learning, uncertainty quantification and conformal prediction, before applying mediation analysis to multi-omics integration and reproducible R/Python workflows. Sessions: 2–6 November, 14:00–18:00 daily, Europe/Berlin (CET, UTC+01:00)
In Biostatistics and Applied Mathematics
Analyse clinical trials and linked register data on stress-related ill health and persistent fatigue, including treatment prediction, mediation, moderation and long-term outcomes. Work covers healthcare use, sickness absence, medication and socioeconomic measures. The role belongs to Karolinska’s Division of Psychology and is mainly based at Gustavsberg University Primary Healthcare Centre. This is a full-time temporary appointment with an intended start during autumn 2026. Apply online by 1 October 2026.