-
will join Andrej Prša’s research team and work on the PHOEBE code , developing the modeling proxy based on artificial intelligence (AI). The goal of the AI-powered model is to enable the autonomous
-
energy across the common envelope and the consequent dynamical equilibrium processes; work on formulating an atmosphere model for contact binary stars; partake in research that connects theoretical models
-
renown locally, nationally and internationally. Minimum Qualifications: A PhD in Physics, Astrophysics, Data Science or a closely related discipline is required. Preferred Qualifications: Teaching: prior
Searches related to phd mathematical modelling
Enter an email to receive alerts for phd-mathematical-modelling positions