PhD scholarship in data-driven modelling for catalytic organometallic reactions - DTU Chemistry
Description
Are you interested in using data science to make chemical reactions more general, flexible, and efficient?
Join us at DTU Chemistry for an interdisciplinary and internationally collaborative project to integrate different modelling and machine learning approaches into a cohesive data-driven computational technique for homogeneous transition metal catalysis.
Skills
Machine LearningData Science