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group investigates how intelligence emerges from the collective dynamics of simple processing units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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to the logistics of community-engaged action-research, including ethics review, financial reporting, grant preparation, etc.; (4) consolidating a relevant network of community-engaged researchers and Indigenous
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place-based policies, the role of colleges and workforce training in upward mobility, and measuring how social networks affect mobility. OI’s work has shaped policy discussions at the national and local
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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relevant network of community-engaged researchers and Indigenous knowledge keepers who are committed to promoting innovative Indigenous wellness projects; and (5) supervising, orienting, and training project
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of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network
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network. This includes DARPA program managers and research performers from leading universities, commercial firms, and non-profit R&D organizations. For early-career civilians, the Innovation Fellowship
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—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative