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of these methods to problems in the physics of oxides, semiconductors and their surfaces. Machine learning methods will be used to close the complexity gap. Applicants will have outstanding achievements or show
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) Limited contract until: 31.12.2029 Job ID: 4269 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic
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the network architecture need to be to capture the solution accurately? In essence, we’re exploring the frontier between modern machine learning and classical mathematical theory—where neural networks meet some
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flows such as entropy dissipation. This is a chance to tackle cutting-edge mathematical and computational problems with real-world relevance, using modern approximation theory and machine learning