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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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/or structural modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology
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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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science, organizational theory, social networks, science and technology studies, or economic sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science
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psychological assessments. Training in professional skills development will also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees
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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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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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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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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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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