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Requisition Id 16166 Overview: The Programming Systems Group at ORNL seeks a forward‑leaning Postdoctoral Researcher to advance research at the nexus of Agentic AI, high‑productivity programming
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Investigative Training Certification. Such as: Federal Bureau of Investigation (FBI) Academy New Agent Training Federal Law Enforcement Training Center (FLETC) Criminal Investigator Training Program (CITP
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-augmented generation (RAG) or agent-based AI systems. Experience working with APIs, data pipelines, or backend systems. Experience evaluating or benchmarking ML or LLM-based systems. Knowledge of FAIR
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is building agentic AI workflows that help discover, gather, validate, and standardize open-source data for downstream geospatial analytics and machine learning. The position offers a unique
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characterization data Develop and integrate imaging and sensing systems for data collection and monitoring Develop modular, extensible workflows (e.g., service-oriented or agent-based architectures) to orchestrate
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ML frameworks for predicting microbial phenotypes and interactions from genomic data, build AI agent systems that enable researchers to interact with complex datasets through natural language, and
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for commercial potential, collaborating with inventors, patent agents, and external law firms. Develop Market Strategies: Identify market opportunities, analyze competitive landscapes, and craft licensing plans
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, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows. Investigate strategies to balance performance
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integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted discovery of novel
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(CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation. Key Responsibilities: Design and Development for Security