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Requisition Id 16967 Overview: Our team is looking for a driven Postdoctoral Researcher with a strong background in polymer chemistries to support our advanced fiber manufacturing initiatives
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needs. Special Requirements: Visa sponsorship is not available for this position. This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such
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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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. This position resides in the Multifunctional Equipment Integration Group in the Thermal Systems Science Section, Buildings and Transportation Science Division, Energy Science and Technology Directorate at Oak
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Requisition Id 16798 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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Requisition Id 16841 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy Laboratory, conducting basic and applied research to deliver transformative
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified
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microbial systems relevant to the emerging bioeconomy. These tools will accelerate our ability to interrogate genotype–phenotype relationships, expand fundamental understanding of microbial physiology, and
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science and engineering, physics, chemistry, electrical engineering, or a
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demonstrating advanced manufacturing technologies related to machining processes, machine tool performance, process monitoring, machine tool metrology, and/or manufacturing system integration. The successful