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simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
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-agent simulation, and intelligent control. The successful candidate will engage in research aimed at developing agents--whether virtual humans in simulated environments or physical robots--that make
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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Postdoctoral Associate – National Tutoring Observatory Postdoctoral Associate – National Tutoring Observatory Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers
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: Apply Position Description Postdoctoral Associate – National Tutoring Observatory Cornell University Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College
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. Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI. Ability to work effectively on interdisciplinary, team-based research