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. From designing advanced sensing platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale
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as directed by the Principal Investigator and/or software team lead. Develop AI/ML models and systems for diverse data and mission contexts Conduct independent and collaborative research in AI/ML, with
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data-driven methods for national security applications. Major Duties and Responsibilities Conduct research and development applying machine learning, statistical modeling, optimization, and data science
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. Develop executive presentations, briefing materials, talking points, and other deliverables that clearly convey scientific leadership, strategic direction, stakeholder impact, the MDF model and innovation
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding
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scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures. Establish R&D priorities across: AI foundation models trained on scientific and simulation data
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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growing program at ORNL offers exceptional opportunities for professional development, hands-on impact, and technical leadership. Our team is energized by the significance of the work, driven by innovation
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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Javascript frameworks (React, AngularJS, NodeJS). 5+ years of experience in addition to the degree. Experience with modern software practices such as test-driven development, Agile software development