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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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social robots, as well as how children’s understanding of AI develops over time. The postdoc project is part of the recently established multi-site research group Child Development in the Age of AI and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
contribute to the development of next-generation AI software within the ACM Lab that leverages LLMs, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large
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sparse-regression based techniques to derive interpretable and computationally efficient differential equation models from computationally intensive multi-cellular agent based models (ABMs) of Epstein–Barr
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them for their research career in academia or elsewhere. As a postdoc, the position can perform mostly independent research, collaborate on a multi-scholar research initiative, or even may have lead
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory
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integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted discovery of novel