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Analysis Department and will develop AI-driven autonomous systems for next-generation transportation and grid applications. The role focuses on advanced control, LLM-based agentic frameworks, and robust
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interdisciplinary pipelines to identify effective RNA drugs against human diseases: AI-driven RNA discovery – using AI agents to prioritize the therapeutic potential of human lncRNAs (supported by the NHLBI
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will be conducted within the MIST project (Scalable Mechanistic Interpretability for Safe and Trustworthy LLM Agents), recently funded by the Novo Nordisk Foundation. The project aims to develop new
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Opportunity You will play a key role in advancing agent-based travel demand modelling to help shape healthier, safer and more active cities. You will help build innovative modelling frameworks, analyse real
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Job Posting Title: Postdoctoral Fellow - TMI, Agentic AI, Texas Materials Institute, Cockrell School of Engineering ---- Hiring Department: Walker Department of Mechanical Engineering ---- Position
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of an agent-based model for Brazil The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and will have expertise in analysing large quantitative datasets and in
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based chatbot to instill lifestyle changes including making meal recommendations with appropriate guardrails in place. Key Responsibilities: Developing LLM agentic framework for detection of food, making
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output regulation for uncertain multi-agent systems”. Key Responsibilities: The Research Fellow will work conduct research on the project “Reinforcement learning based event-triggered prescribed-time
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of an agent-based model for Brazil The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and will have expertise in analysing large quantitative datasets and in
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recently developed mathematical theory, linking stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through