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/data assimilation/machine learning methods/data-driven modelling/stochastic models Programming skills and high-performance computing and parallel programming Emphasis is also placed on your: motivation
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data
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environmental conditions. Digital Twin technology creates a virtual clone of a structure using 3D modelling and can relate to other digital transformation technologies such as Machine Learning and big data
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knowledge/understanding in at least two or more of the following areas: algorithmic machine learning systems mathematical modeling and numerical simulations drilling systems and operations verifiable computer
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that are included in the education. You can use these conversion scales to calculate your points for admission. Emphasis is also placed on your: strong foundational knowledge in machine learning and natural
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and the virtual world ourselves, but also to be the link between university mathematics and its practical implementation. Therefore, the close connection to the Department of Mathematics at the RPTU