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extracting transport properties from molecular dynamics trajectories. ● Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ● Experience
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, and mutual information rates. Applications span both spatial and non-spatial systems, using discrete and continuum Markovian frameworks (chemical master equations and Fokker–Planck equations), as
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., the Rhapsody framework) and to the group's broader efforts developing and disseminating open-source computational tools such as ProDy. About the Group The Bahar group develops and applies multiscale
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