Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations. * In addition, you will benchmark machine learning methods with regard to their ability to understand relationships between geometries, textual descriptions, and other modalities, including physical properties. * Profound knowledge of applying machine learning to 3D geometry, including geometry encoding for large scale models and familiarity with geometric deep learning architectures (for example GNNs, diffusion models, PointNet++, or similar).
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