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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is
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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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demonstrated passion for and experience in academic research, along with a learning orientation, perseverance, and a collaborative attitude. We are recruiting for a four-year, fully funded open PhD position
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an interdisciplinary very active consortium called EVOLF. Job requirements Qualified candidates have a Master in physics, chemistry, engineering, or a related field. Successful candidates are motivated by a deep
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are motivated by a deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and to develop new methods and concepts. PLEASE NOTE: The applications will be
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internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team. While interest in