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predictive data-driven models describing the catalytic activity and stereoinduction capabilities of ligand mixtures, allowing for their efficient experimental optimization. The goal of this project is to: 1
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) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization for reactivity and stereoselectivity. This position will be part of the Marie
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the Netherlands and who has made an outstanding contribution to the humanities or social sciences. The researcher must have obtained their PhD no more than 15 years prior to the year of their nomination and have an
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Organisation Job description A fully funded PhD position in the broad field of systems and control is available at the University of Groningen, the Netherlands. The specific subject of the project