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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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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position
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English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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willingness to become familiar with the other, as well as multi-agent systems and ontologies. 4. Excellent Python programming skills, and familiarity with standard machine learning libraries. 5
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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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preferred. In addition, the successful candidate should demonstrate these skills: · Expertise in machine learning and AI, particularly LLM fine-tuning and reinforcement learning · Experience with multi-agent
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period: six months] Duties The appointees will assist the project leader in the project - “Developing an LLM-based multi-agent language learning platform: Personalized tutoring and contextual simulation
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, process mining, conformance checking, and token-based what-if analysis. Build and integrate LLM-enabled multi-agent components for expert elicitation, structured questioning, explanation, and knowledge