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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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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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, implementation science, geospatial analysis, biostatistics and research design, AI analytics, agent-based modeling, Bayesian modeling, causal inference, and measure development. We are seeking exceptional mid
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candidates who research at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example: AI for finance, automated trading, agent-based modelling
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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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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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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