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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems
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Requisition Id 16127 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply electronic structure theory approaches to examine the fundamental properties of a range
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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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resources and collaborating across ORNL, federal agencies, and academic partners. Key Responsibilities: Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular
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language and compiler ecosystems to accelerate scientific software development at scale. Major Duties/Responsibilities: Agentic AI for High‑Productivity Languages: Develop multi‑agent reasoning systems
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problems. Major Duties/Responsibilities: Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals Develop statistically defensible algorithms to identify and
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contributors to engineer solutions for developers, and users of nuclear energy modeling and simulation software. Major Duties/Responsibilities: Develop and implement numerical algorithms in advanced modeling and
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email