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Field
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selection, and collaboration norms as AI tools are integrated into research workflows. Construct and analyze dependency and contribution networks to identify structural changes in inquiry. Combine
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
initiative to study corporate climate action and its potential to catalyze social tipping points (i.e., nonlinear shifts in societal norms, policy, technology uptake, and consumer behavior) that will
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the
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of experimental quantum communication hardware development, optical memory qubit characterization, and fiber-based networking demonstrations using novel memory qubits. The goal is to employ the natural telecom
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, social network analysis or conversation analysis experience, track record of interdisciplinary collaboration and publications, and understanding of analytical workflows in complex information environments
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Postdoctoral Position: Molecular Mechanisms and Neural Circuits of Fear Memory, Maternal and Social Behavior Rutgers University, New Jersey, USA, laboratory of Dr. Gleb Shumyatsky. A key question in
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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the