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Field
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agentic architectures for autonomous scientific reasoning and planning; • AI social scientists, including language-model-based and agent-based simulations for social science domains such as history
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Job Description The research group of Professor Hongliang Xin (xingroup.org) at Virginia Tech invites applications for a full-time Postdoctoral Associate to drive the development of agentic AI
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advancements in Foundational Models and Agentic AI. Please upload the following as attachments to your application via Workday: CV/Resume Unofficial Ph.D. Transcripts If already awarded, a copy of your Ph.D
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-agent simulation, and intelligent control. The successful candidate will engage in research aimed at developing agents--whether virtual humans in simulated environments or physical robots--that make
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 10 hours ago
of an OpenAI Gymnasium–compatible environment layer (a “Gym-Agro” or ”Gym-PBM abstraction). This layer will expose a standardized API (reset, step, observe, reward, done) to RL agents, manage simulation calls
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, with strong analytical and computational skills, with knowledge of one or all of the following: Dynamic Transport Modelling Demand Estimation and Forecasting Agent-based Modelling and Simulation Data
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studies using a laboratory pilot plant consisting of a perfectly stirred reactor, - Analysis by gas chromatography coupled with a mass spectrometer - simulations of combustion experiments - writing articles
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chromatographic and FTIR analytical techniques. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical kinetics principles. Key Responsibilities