The successful candidate will develop and apply multimodal ML methods to integrate clinical, breath metabolomics, biomarker, lung function, and environmental exposure data. The role involves modeling lung function trajectories from infancy to adolescence and performing external validation with different cohorts to assess generalisability. Candidates are required to have solid programming skills in Python and fluency with ML frameworks like PyTorch and scikit-learn.
(KI generierte Zusammenfassung)
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