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applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working knowledge in most of the following topics is essential
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functional inversion. Additional applications are possible on quasi-exact nonadiabatic nuclear dynamics simulations using tensor network states (ML-MCTDH) of vibronic coupling models. Of particular interest
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse
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