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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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networking events; Acts as a liaison between students, faculty, management, and administrative agents to explain programs and university rules and regulations; Assists and performs the oversight of operations
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of the project "Agent–Human sandbox: exploring the limits of human substitution by autonomous agents in digital economics". Description of the thematic area In contemporary economic systems, the rapid
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Description This PhD position explores how AI agents can play games to generate meaningful gameplay data. You will work on reinforcement learning, automated feature engineering, and the comparison of AI- and
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measures into the interpretation and autonomous invocation functionalities of reference orchestration APIs (e.g., TMForum), considering approaches from the literature and industry (OWASP) such as guardrails
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cognitive agents, and digital twin models. Where to apply Website https://www.cttc.cat/job/call-05-2026-1-predoctoral-contract-on-autonomous-netw… Requirements Research FieldTechnology » Telecommunications
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functionalities for autonomous driving, as well as an immersive, multi-agent urban simulation platform for validating autonomous driving algorithms, pedestrian–autonomous/manual vehicle interaction, and human
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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strengths in developing the fundamentals of AI and also in applying AI in Financial Technology and other areas such as Digital Health, and Robotics and Autonomous Systems. Our new Temple Quarter Innovation