Postdoctoral Researcher in Machine Learning and Health Economics for Alzheimer’s Disease and Related dementias

Analyze multimodal and multi-cohort Alzheimer’s data in two precision-medicine consortia. Work includes statistical and machine-learning analyses, clinical prediction models, health-economic modelling, synthetic-data simulation and register studies, with scope to develop research directions and supervise junior colleagues. The Health Economic Research Group appointment is full-time for two years in Bioclinicum, Solna, with possible extension.

Relevant doctorate completed by the employment decision, excellent Python, advanced statistical/machine-learning experience with large data and strong English. A doctorate obtained within three years is a merit, not a fixed eligibility ceiling; earlier degrees can qualify. Health economics, multimodal biomarker/neuroimaging data and Swedish are advantageous. Apply via Varbi with PhD certificate, CV, publications and a current-work summary of at most one page.