The successful candidate will analyse population data to examine how social factors are associated with early biological changes, functional decline, and accelerated aging. * Statistical modelling and data analysis of large-scale, longitudinal population-based cohort studies (e.g., the IDEFICS/I. Family cohort and the NAKO Health Study). * Master's degree (or equivalent) in Biostatistics, Epidemiology, Public Health, Bioinformatics, Data Science, Statistics, Computer Science, Medical/Biological Sciences, or a related quantitative or biomedical discipline. * Strong motivation for conducting rigorous data analysis and expanding skills in advanced statistical modelling, with the ability to interpret statistical results within a population health context. Prior experience with epidemiological data analysis is advantageous but not mandatory.
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