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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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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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skills in quantitative methods and data analysis software, writing skills 2. Research experience in related areas 3. Demonstrated ability to work independently, under supervision, and as part of a team
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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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are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. Familiarity with neural networks and/or primate electrophysiology is
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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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scholars in all disciplines who are engaged in Canadian studies broadly defined. Scholars working on comparative US-Canada research may receive preference. To be eligible, applicants must have been awarded
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and scholarship into practical contributions for academia and public life. The Research & Design Studio: The Research & Design Studio (R&DS) is an interdisciplinary network that bridges scholarship and
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collaborative work, the Arboretum offers fellowships and awards to students, post-doctoral researchers, and professionals of the biological and horticultural sciences. Applicants are encouraged to define 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