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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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to: i) lead the design and creation of an experimental setup to examine fluid-structure interactions between 3D-printed models of deep sea sponges and ii) lead the formulation and analysis of finite
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to work in a group setting and be able to document the results in a format suitable for publication as exemplified by a strong publication record. Previous experience in fluids and materials design