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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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: The position is for one year with the potential for annual renewal, contingent on performance and funding Appointment Start Date: June 2026/flexible Group or Departmental Website: https://med.stanford.edu/liver
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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science, and immersive technologies. The CNS lab has funded projects using virtual humans (e.g., conversational agents, virtual standardized patients) and virtual reality environments. The CNS lab
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for internal and external funding opportunities. The CNS lab has funded projects using virtual humans (e.g., conversational agents, virtual standardized patients) and virtual reality environments. The lab
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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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workflows, including adaptive, automated, or agent-based (agentic) workflows that integrate simulation, data analysis, and/or machine learning. Experience with computational workflows on large-scale HPC
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, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows. Investigate strategies to balance performance
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’ projects as well as how each applies within the larger context of defining novel therapeutic agents in Hematological Research and broadening our understanding of mechanisms underpinning pediatric marrow
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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