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of a team focused on characterizing CAIs down to the atomic level using electron microscopy and comparing the characterization data with model output to infer the thermodynamic conditions and chemical
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Observatory, and LSST. Expertise in modeling cosmological observables through analytical methods or numerical simulations, machine learning, statistical inference, and data reduction is beneficial. As members
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, medical imaging, and RF signal synthesis. Design variational autoencoder models for RF signal classification and inference. Design GANs and other generative AI models for synthesis of cancer-cell images and
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