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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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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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-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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skills. Strong software development experience is a plus. Special Instructions Application requirements include CV, cover letter, and three publications. Optional documents include a statement of teaching
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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in scientific research, which can be evidenced through publications, technical reports, or impactful software projects. Additional Qualifications Interest in applying programming language theory
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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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planning, analytical, organizational, communication, and decision-making skills ability to define and drive projects to completion while effectively collaborating with others enthusiasm for interdisciplinary