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Would you be interested in exploring how multi-agent aerial manipulation can contribute to construction, in particular by assembling a pavilion? Job description Advancement of aerial robotics
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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teams across the KRI consortium, consisting of academic and industry partners, to create solutions and prototypes for projects in application areas, including autonomous systems, robotics, cognitive and
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organizations, which could be rooted in human–AI collaboration, agent-driven interaction, human-robot interaction, intelligent interfaces, autonomous systems, and the design and evaluation of AI systems
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 2 months ago
ability and experience working autonomously. Demonstrated ability to quickly learn and become highly proficient with computer programs and systems. Excellent organizational and time management skills
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large language models, with proven experience in designing and implementing LLM-based autonomous agents. They should be proficient in Retrieval-Augmented Generation (RAG) systems, including vector
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analysis pipelines and making them accessible for non-expert users in the Center integrating agentic AI where useful in data analysis workflows contributing to scientific publications on computer vision
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multilingual communication. This line would emphasize the societal implications of AI in agricultural contexts. Agentic AI for Agricultural Leadership, Education, and Decision Systems o Studies, designs
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of reinforcement learning agents understandable to humans, leading to improved transparency, trust, safety, and regulatory compliance in high-stakes decision-making systems. Potential application domains include