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, study, design, development and validation of advanced artificial intelligence solutions for the implementation of agentic systems based on LLMs, with particular reference to orchestration techniques and
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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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on Multi-Agent Agentic AI architectures. Develop AI models and AI-based applications, tools, and software components collaboratively. Build, maintain and operate a private 6G cloud testbed primarily based
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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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ventilation and perfusion for monitoring the inflammation and pulmonary agent delivery in animal models. The other objective will be to encapsulate drug of interest into nanoplatform for improve treatment
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. Solid understanding of contemporary AI concepts including large language models, agentic systems, prompt engineering, orchestrations, tool-use and retrieval patterns. Extensive Experience working with one
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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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a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection
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Posting Details Posting Details Job Title Extension Agent for Community Arts - McCracken County Requisition Number RE53920 Working Title Department Name 81W02: KCES Region West Area 02 Work Location
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve