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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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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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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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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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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
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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
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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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autonomous agents including households, aggregators, and grid operators-must make real-time, interdependent decisions under shared constraints and competing objectives. Multi-agent learning and optimization
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autonomous adaptation to climate induced hazard, provide new evidence of soft and hard limits, and undertake ex-ante and ex-post assessments of adaptation effectiveness; (2) advancing analytical methods