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• Postdoc (m,f,x) in Machine Learning Potentials, Theoretical Chemistry II, Research Alliance Ruhr

  Ruhr Universität Bochum —Bochum3.8

  Development and parameterization of machine learning interatomic potentials for heterogeneous catalysis. In order to fill a fixed-term position in full-time (…

• Master Thesis - Physics-Informed Machine Learning for Dynamic Power System Characterization

  Forschungszentrum Jülich GmbH —Jülich4

  Excellent knowledge and experience in machine learning. Such systems are characterized by high shares of renewable energies and increasing sector coupling,…

  Direkt bewerben

  19 Std.

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