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Field
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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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and multi-agent systems for conservation genomics; perform feature engineering using chromosome-level genome assemblies. 15% Writing: Contribute to scientific manuscripts, progress reports, and
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”. The main objective of the SPAN network is to address this need by prioritizing the testing of different neuroprotective agents in humans based on their measured comparative efficacy in experimental stroke
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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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performance, and mutual interest. This is a full-time, benefits-eligible postdoctoral appointment based at the Kempner Institute at Harvard University. Due to the importance of in-person mentoring and
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for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform
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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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east. For detailed information about the university, please visit www.xjtlu.edu.cn . ABOUT THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an
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following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro/nanofabrication, nanowire synthesis
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, Uncertainty, and Dynamics.” About the Project Market interaction is increasingly automated by artificial learning agents. Examples include pricing agents in electronic retail or bidding agents in display