Assistant Professor, Computational Non-Target Screening
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The University of Copenhagen invites applications for a four-year assistant professorship in machine learning–based non-target screening of contaminants of emerging concern (CECs) and related chemical fingerprints. The role combines analytical chemistry, data science, and scalable workflows across HRMS, chromatography, and cheminformatics.
Duties include research and teaching, with a focus on publication, funding, and collaboration with academic, clinical, regulatory and industrial partners.
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