Software skills are equally important as hands-on lab skills. Key software proficiencies include:
Simulation tools such as COMSOL Multiphysics and Lumerical for modeling physical phenomena at the nanoscale. Data analysis software like MATLAB and Python for interpreting experimental results. Proficiency in molecular dynamics simulations using software such as LAMMPS.
