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are dynamic systems evolving over time (due to operation), this doesn’t hold. Therefore, there is much to be gained by surrogating the full structure flexibly: a generalist surrogate capable of estimating and
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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