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ideal if you like to be involved in a PhD that covers the full cycle of numerical design, nanofabrication, and optics characterization, and if you have a keen interest in working towards real-world impact
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advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
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