AI-Optimized Retrosynthesis Processes at SoftMining
About position
Institution: SoftMining
Website: www.softmining.it
Country: Italy
Duration: 2-6 months
Contact information at the placement: Stefano Piotto, piotto@unisa.it
Contact information at the higher education institution: bbarone@unisa.it
Description:
This project explores how AI algorithms can predict and optimize retrosynthesis pathways, improving the creation of new chemical compounds through automated selection of the best reagents and reaction conditions. Validation and Development of Drugs, Tools, and Methods.
Requirements:
- Computational Chemistry and Chemical Synthes is students with a particular focus on communication skills,
- organisational skills,
- problem-solving,
- analytical thinking,
- soft skills.
If you are interested, please fill out the form www.softmining.it/per-gli-studenti/.
Language of communication: English
(Internship/Position ID: NSMT_IT0004_3)
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