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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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atomistic simulations to overcome the limitations of traditional molecular dynamics approaches, which struggle to capture the experimentally relevant size (20–100 nm) and molecular complexity of LNPs. ML
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. This involves method development, large-scale computations, and simulations of complex systems where magnetism is coupled to atomic structure and atomic vibrations. As postdoc, you will principally carry out
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software