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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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standard interoperability protocols in multi-agent contexts. The developed solutions will be validated in real-world application scenarios and integrated into the Snap4City ecosystem. Where to apply Website
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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candidate for the UPC-2 research project "Multi-agent multi-objective agent-based modelling for automatic distributed optimization of cellular networks" at the Universitat Politècnica de Catalunya (UPC
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. The project will conduct leading research and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models
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intelligence artificielle (IA symbolique, apprentissage automatique, systèmes multi‑agents, ou traitement de données) ; _Intérêt pour les problématiques de gouvernance, sûreté, confiance et validation des
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++, MATLAB, ROS) La connaissance des systèmes multi-agents, de la fusion de capteurs ou des systèmes autonomes est un atout Capacité à travailler dans un environnement multidisciplinaire combinant robotique
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website for more information: https://d3.harvard.edu/ . Job Description We are seeking an experienced Agentic AI Product Manager to lead the development, oversight, and optimization of agentic AI
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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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- 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