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supercomputer. Topics We are looking for candidates in the following two areas. Funding is in place for all three positions. 1. Robot learning for manipulation : imitation and reinforcement learning of
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supercomputer. Topics We are looking for candidates in the following two areas. Funding is in place for all three positions. Robot learning for manipulation : imitation and reinforcement learning of contact
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and computational approaches. Our experimental approaches include in vivo neural recording and imaging, optogenetic and genetic manipulation of neural circuits, quantitative analysis of movement and
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-fate reprogramming and genetic engineering approaches. Design and construct molecular tools and viral vectors for neuronal programming, tracing, functional manipulation and live-cell imaging. Develop