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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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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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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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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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. 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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en préservant un contrôle humain explicite sur les décisions critiques. Une architecture d'orchestration « gouvernée », de type control plane, assurera la supervision des interactions entre agents IA
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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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permettront d'assurer la détection de proximité et les interactions entre agents, sans dépendre d'infrastructures externes ni de la présence de capteur complexes. Le défi consiste à exploiter les propriétés des
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suitability assessments for high containment/Select Agent access. (Required) Schedule 8:00 a.m. to 5:00 p.m., variable as needed Union/Policy Covered 99-Policy Covered Complete Position Description https
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on contrast agents. Conventional iodinated formulations remain effective but have limitations, particularly regarding spectral specificity and detectability in emerging imaging modalities. Spectral Photon