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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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sea-urchin spine micro-architectures and using these as templates for multifunctional, mechanically efficient structures. In parallel, ACT researchers have explored spider-inspired soft actuators
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