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for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and distributed
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Familiarity with: Multi-agent systems or autonomous systems Optimization under constraints Experience in: Knowledge graphs, NLP, or information extraction (a strong plus) Application and Selection
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Universidade Politécnica de Viana do Castelo (UNIPVC) | Viana do Castelo, Viana do Castelo | Portugal | 21 minutes ago
possess: Experience in applied research and development activities in the areas of real-time embedded systems and multi-agent distributed systems (or related areas); Experience in orchestrating Edge-AI
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Processes. Coursework or project experience in multi-agent systems, reinforcement learning, and/or probability theory will strengthen your application. - "Self-adaptation" project. The goal is to design
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NTNU Norwegian University of Science and Technology | Ålesund, More og Romdal | Norway | about 1 month ago
position. Preferred selection criteria Experience with agentic AI systems, LLM-based agents, tool use, planning, or multi-agent systems. Knowledge of trustworthy AI topics such as interpretability
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the intersection of game theory and control for multi-agent autonomous systems. The position is part of the Digital Futures project Human-in-the-Loop Autonomy via Hybrid Games . The work will span
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INT-26036-IN RETRIEVAL-AUGMENTED GENERATION FOR FINANCIAL REGULATION VIA LLM ORCHESTRATION AND HY...
Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months agoprototype graph-based retrieval for document relationships · Experiment with multi-agent systems and workflow orchestration platforms. System integration (15%): · Enhance the Streamlit
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for understanding and acting on complex public-health challenges. The Center leverages multi-layered nationwide social and health data combined with an interdisciplinary fusion of methods spanning
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investigation may include but are not limited to: AI-driven design workflows; machine learning and generative AI models; AI-based performance evaluation and simulation; agentic and multi-agent AI
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
electrical and computer engineering, with particular emphasis Robotics and Controls; large-scale systems, distributed and decentralized decision making, multi-agent learning and coordination, safe and