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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post-training. The goal is to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
, focusing on multimodal foundation models and multi-agent systems. The position will involve conducting independent and collaborative research, developing and evaluating multimodal AI models, and
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-agent systems, RAG, tool-calling workflows, or autonomous scientific workflows. Familiarity with modern AI frameworks and APIs for developing agentic applications. Experience with multi-omics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep
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multiscale agent-based models (ABMs) and differential equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by
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recommendations and learn from experience to improve wireless network energy efficiency. The research combines large language models, multi-agent systems, reinforcement learning and knowledge evolution
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-agent systems, swarm robotics or distributed coordination of autonomous agents experience with multi-robot or mission planning, autonomous decision-making or self-adaptive systems experience with robot