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materials and robotics. We offer a PhD position that combines theoretical exploration and experimental realization of a new class of robotic learning metamaterial, based on active and non-reciprocal elastic
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efficient, adaptive use of multistable networks, offering an alternative to energy-intensive digital systems with rigid bits and separated memory and computation. In this project, we aim to design and realize
Searches related to structure based drug design
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