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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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modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology studies, or economic
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postdoctoral fellow. The ideal candidate will have research experience and interests in environmental economics and empirical market design (broadly defined). The position will be under the supervision of Anna
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translational questions, including but not limited to drug efficacy and safety prediction, mechanism-of-action inference, biomarker discovery, causal or network-based modeling of biological systems, and drug
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to damage, with a primary focus on the endolysosomal system and mitochondria? What are the protein interaction networks that make up dynamic organelles? How to familial mutations in key organellar systems
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may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with the Principal Investigator Dr. Peter Sorger and Jeremy Muhlich, Director of Software
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historians, and American Studies scholars whose work explores the making and meaning of public commemorations, or what we are calling “commemorative acts.” We define commemorations as events, rituals
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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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but not limited to drug efficacy and safety prediction, mechanism-of-action inference, biomarker discovery, causal or network-based modeling of biological systems, and drug repurposing or design
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(e.g., MATLAB, R, or Stata); · Writing papers for management and economics journals; · Interest in platforms, digitization, antitrust, network effects and/or strategy. Basic Qualifications · A Ph.D. in