Chair of Excellence in Artificial Intelligence for Drug Discovery Project: MOSAIC-Health ‒ Multimodal and Explainable Artificial Intelligence for Drug Discovery and Digital Health Education

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Scientific context . Université de Caen Normandie is seeking an internationally recognized scientist to lead the MOSAIC-Health Chair of Excellence at CERMN. CERMN is a research unit dedicated to drug discovery and the characterization of biologically active compounds. Its Chemoinformatics and Biostructural Group develops computational approaches for the analysis of chemical and pharmacological data, ligand–target relationships, structure–activity relationships, pharmacophore modeling, and molecular design. MOSAIC-Health will strengthen this activity through the development and application of modern artificial intelligence methods for drug discovery. The project will build on existing collaborations with GREYC (UMR CNRS 6072), the computer science laboratory of Université de Caen Normandie, particularly in machine learning and graph-based approaches. Depending on the scientific questions addressed, the Chair may also interact with local expertise and technological platforms in bioinformatics, metabolomics, proteomics, transcriptomics, and multi-omics. Scientific objectives of the Chair . The Chairholder will develop an internationally visible research program in AI-assisted drug discovery at the interface of chemoinformatics, molecular modeling, machine learning, and experimental pharmaceutical research. Chemical structure will remain the primary point of entry. Depending on the appl