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candidate that supports us in developing Gaussian processes based models with structure preservation in port-Hamiltonian systems. A PhD position is currently available in the Collaborative Research Center
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., neural networks, Gaussian processes, active learning) interest in materials science (e.g., SCC) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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