-
” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
-
ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
-
- Ability and interest in conducting experiments in a controlled environment (tank experiments) - Knowledge of Matlab or Python required - Knowledge of numerical simulation software such as Comsol
Searches related to numerical
Enter an email to receive alerts for numerical positions