This doctoral position focuses on integrating clinical, breath metabolomics, biomarker, lung function, and environmental exposure data to develop and apply multimodal ML methods. The candidate will model lung function trajectories from infancy to adolescence, perform external validation with different cohorts, and contribute to reproducible, well-documented code. Work involves close collaboration with interdisciplinary teams, including clinicians and exposure scientists.
(KI generierte Zusammenfassung)
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