-
-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
-
structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
-
Eugenio Schuster and Tariq Rafiq, conducts research at the intersection of theory-based modeling, predictive simulation, artificial intelligence, and plasma control. Group members have backgrounds in plasma
-
to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models