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large-scale patient-derived cancer genomics datasets to identify nanoplastic-associated mutational signatures and link environmental exposure to clinical outcome. The project is embedded in a strong
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vesicle (EV) analytics, and mass spectrometry, as well as strong collaborations across the university and regional healthcare. The postdoctoral fellow will be embedded in an international team with
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