114 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Oak Ridge National Laboratory
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Requisition Id 15669 Overview: We’re hiring an AI Developer having AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and
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plans for the computing environment and lead technical projects from conception to completion. This includes planning for hardware upgrades, new technology implementations, and system performance
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). Major Duties/Responsibilities: Develop AI/ML models and systems for diverse data and mission contexts Design and implement reproducible pipelines for data acquisition, feature engineering, model training
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/Responsibilities: Provide engineering support for Cooling Systems equipment and projects. Perform hydraulic analysis using computational fluid dynamics (CFD) software to understand performance limitations in
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scientists, engineers, and technicians on challenging, fast-paced technical projects and operations in support of the DOE Isotope Program and specifically associated with the rapidly growing field of stable
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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Requisition Id 15626 Overview: We are hiring a DevOps Engineer! This position resides in the Research IT Infrastructure group of the Research Computing Support Division of the Information Technology
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modeling, AI/ML, data infrastructure, and laboratory automation with biological research programs across BSD. Champion interdisciplinary collaborations with computing, engineering, and data science divisions