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The Department of Computer Science and Engineering at the University of California, Riverside invites applications for a full-time Postdoctoral Scholar position in the area of embodied agents across virtual and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
/Description: The Postdoctoral Research Associate will focus on the pathogenesis of host pulmonary responses to injuries, including infectious agents. A central area of interest will be on host responses
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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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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the
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) department at Telecom Paris. Reinforcement learning (RL) has emerged as a useful paradigm for training agents to perform complex tasks. Model-based RL (MBRL), in particular, promises greater sample efficiency
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, multi-agent systems, and agent based modelling) and energy systems (energy modelling, renewable energy, energy management, and energy in agriculture). The position will be under the direction of Dr. Karl
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to very high temperatures. Before injection, fuel is used to cool the walls of the combustion reactor. Some applications go further by using active fuel cooling, based on pyrolysis of the fuel before it is
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and biomolecular aggregate with interfaces under different types of external forcings and actuation. The successful candidate will develop new mesoscopic models of ultrasound contrast agents