Modeling Mechanisms of Terpene Biosynthesis Using Deep Learning

 The PhD project focuses on modeling terpene biosynthesis mechanisms, particularly predicting enzyme activity from amino acid sequences of terpene synthases using deep learning techniques. The research aims to unlock the biosynthetic potential of plant metabolites for the development of new medicines. The position offers a unique opportunity to contribute to cutting-edge bioinformatics research in a leading European institution.