Postdoctoral Researcher in Machine Learning for Light-Induced Excited-State Dynamics
The successful candidate (f/m/x) will develop and apply methods at the intersection of real-time TDDFT, nonadiabatic excited-state molecular dynamics, and machine learning. Design and implement machine-learning models for photo-excited systems (e.g.,...