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, LangGraph). Experience building agentic LLM systems with tool-calling, multi-step reasoning, or autonomous workflow orchestration. Experience with retrieval-augmented generation (RAG), vector databases
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project – “Urban smart digital services via LLM-based multi-agent collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis, paper and report
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environmental simulations in game engines and integrate them into a persistent multi-user environment platform. Develop and refine RAG-based AI agents using Google AI Studio Pro. Manage the workflow of converting
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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- Mobile or maritime robotics, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human
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language and compiler ecosystems to accelerate scientific software development at scale. Major Duties/Responsibilities: Agentic AI for High‑Productivity Languages: Develop multi‑agent reasoning systems
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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. We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent
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- “Multi-agent systems with variable morphology”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. David Navarro via email at
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Postdoctoral position in medicinal chemistry is available in the laboratory of Prof. Tomasz Cierpicki, University of Michigan, Ann Arbor, to synthesize small molecule inhibitors for targeted