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(supervised by Assoc. Prof. Ivana Konvalinka) and machine learning researchers (co-supervised by Prof. Lars Kai Hansen), you will be responsible for designing and running interactive multi-person (hyperscanning
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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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twins, energy islands, electrolyzers, and machine learning. Our team of 26 members from 13 different nationalities values diversity and includes experts in a broad range of scientific disciplines
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) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric eNzyme and bioproCess dEsign), and it will focus on: Expression, characterization and application of enzymes from University of Turin and other