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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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experience of Python, VASP, PySCF, classical mechanics, scientific IT and data handling Experience in neural network architectures, bayesian optimization, random forest, kernel models, or gaussian process
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