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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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compliance, reproducibility, and interoperability across scientific domains. By improving data readiness processes, this role will amplify the potential of AI-driven discovery in areas such as high energy
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to more clearly understand the original processes involved, and the use and application of AI/ML techniques to national security problems. Familiarity in the following areas are helpful: Application of AI
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of materials across metallic, ceramic, and composite systems. The Material Processing research in MSTD supports missions for multiple program offices within the U.S. Department of Energy (DOE), including: Office
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home to more than 7,500 staff, an outstanding ecosystem of world-class user facilities, and an unparalleled breadth of expertise spanning neutron science, high-performance computing, materials and
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to the Prototype Manufacturing Group Leader. As part of our team, you will work with other technicians, engineers, quality representatives, project managers, and other project staff to provide best-in-class
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Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily
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Requisition Id 15715 Overview: We are seeking a Cooling Systems Engineer who will function within the Cooling Systems group to achieve engineering design tasks and concurrently monitor operating
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intelligence (AI) technologies in national security domains. This role will focus on expanding strategic partnerships, identifying new opportunities, and aligning ORNL’s cutting-edge AI capabilities with
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software quality standards. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across