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research that integrates engineering models of power systems with modern econometric and economic analysis. Responsibilities include conceptualizing and implementing statistical and structural models
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Details Title Postdoctoral Fellow in Artificial Intelligence for Society School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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for researchers with deep expertise in AI/ML who are motivated to move beyond benchmark-driven modeling and into biologically grounded, experimentally validated, and translationally impactful work. Fellows will
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards
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deep expertise in AI/ML who are motivated to move beyond benchmark-driven modeling and into biologically grounded, experimentally validated, and translationally impactful work. Fellows will operate
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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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environment AI or data-driven modeling and control for building and urban systems Human-centered or interaction design for smart systems Postdoctoral researchers will collaborate closely with faculty from
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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