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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning
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26 Sep 2026 Job Information Organisation/Company University of Basel Research Field Chemistry » Computational chemistry Chemistry » Other Computer science » Other Researcher Profile Recognised
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23 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire de Physique et Chimie Théoriques Research Field Chemistry Chemistry » Computational chemistry Researcher Profile
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19 Aug 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Physics Chemistry » Computational chemistry Researcher Profile Recognised Researcher
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(coordinated by Dr. Marco De Vivo), both internationally recognized for their expertise in computational physics and chemistry, multiscale simulations, and the development of innovative computational
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» Computational chemistry Years of Research Experience None Additional Information Eligibility criteria MD simulations, ML potential, statistical mechanics, solvation Website for additional job details https
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» Computational chemistry Years of Research Experience None Additional Information Eligibility criteria MD simulations, ML potential, statistical mechanics, solvation Website for additional job details https