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description The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems
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, mathematics, physics. You will participate in designing the project according to the overarching goals of the lab and you will be responsible for the implementation. We are an interdisciplinary lab and you will
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required
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