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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid
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trustworthy decision support. This PhD project aims to develop next-generation Trustworthy Agentic AI frameworks that integrate multi-agent collaboration, large language models, retrieval-augmented generation
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members to ensure all 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
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planning, wearable and interactive systems, robot manipulation and mobility, multi-agent systems and safe human-robot collaboration, and assistive and rehabilitation technologies for clinical, home, and
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the understanding and treatment of pediatric catastrophic diseases. The ODS is seeking a skilled and collaborative Agentic AI Scientist to lead the design, development, and evaluation of agentic AI systems
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: The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data
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South Kensington We’re seeking talented post-docs who have conducted cutting-edge research and/or have extensive experience in frontier AI labs. The position is fully funded by Dr. Edoardo Ponti’s
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Harvard's Financial Administration Department (FAD) is responsible
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AI Training and Enablement Specialist Be You. The Innovation Co-Lab within Duke University's Office of Information Technology (OIT) is seeking an AI Training and Enablement Specialist to help shape
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at Harvard Medical School in Boston, Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative