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Architecture: Architect, build, and evaluate multi-agent systems powered by LLMs and machine learning, incorporating Orchestrator and Memory agents, vector databases, and knowledge graphs to enable complex goal
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applied to biomedical data. Experience or strong motivation in developing LLM-based applications, AI agents, multi-agent systems, RAG, tool-calling workflows, or autonomous scientific workflows. Familiarity
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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at Harvard Medical School in Boston, Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative
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at Harvard Medical School in Boston, Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative
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at Harvard Medical School in Boston Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers studying adversarial interactions, multi-agent systems, and decision
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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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Lawrence Berkeley National Laboratory is hiring a DuraMat Degradation Analysis Postdoctoral Fellow within the Energy Technologies and Systems division. The HackingMaterials group has confirmed
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at Harvard Medical School in Boston Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative