Research topics: Generative models for novel chemical structures – insisting on the current bottleneck of current approaches: chemical feasibility, modeling of chemical reactivity, biological activity predictions.
Brief description : The candidate, with a solid PhD level background in scientific computing, is expected toshare with our team his or her extensive expertise in neural network architectures andmachine learning – deep or shallow, multiobjective and multitask learning. Knowledge ofphysics and chemistry will be important in the cooperative endeavor to develop AI-poweredpredictive models of chemical properties of compounds and reactions, in deep collaborationswith the chemoinformatics team, and potential experimental partners.
Location: The Laboratory of Chemoinformatics (UMR 7140 CNRS/Strasbourg University), Strasbourg, France.
🗓️ The position will be open in 2026.
See the job offerSend your application to: Dragos Horvat, dhorvath@unistra.fr
- This postdoctoral position is part of the ENACT Research Chair held by Dragos Horvath, CNRS Head Researcher at the Laboratory of Chemoinformatics. Read more