78 decision-making-robot-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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architectural design decisions for massively parallel heterogeneous systems, including pathways that integrate quantum or analog co-processors. Performance Engineering at Scale: Profile, model, and optimize
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environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior
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. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top
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to accomplish multiple tasks within deadlines, and adapt to ever-changing needs Special Requirements: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application
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the necessary chemistry and processing modifications to meet target alloy properties. Apply advanced characterization and modeling techniques and make fundamental contributions to the field. Interact with other
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results, identify technical challenges, develop solutions, and provide recommendations for system improvement. Prepare technical reports, peer-reviewed publications, presentations, and project deliverables
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-motivated and independent in conducting research under general guidance and are expected to prepare manuscripts for scientific publication and present the work to sponsors and at conferences. The group
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background in using the most advanced ab-initio methods to examine electronic, topological and magnetic properties of advanced materials, their defects and their interphases. The incumbent will have
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modeling techniques and make fundamental contributions to the field. Interact with other researchers, technicians, and students to shape and drive the research agenda. Present and report research results and
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., neutron imaging, SPRUCE hydraulic/thermal thresholds and scaling Produce and publish AI-ready datasets to the ESS-DIVE data archive and BER data lakehouse Develop AI pipelines for experimental ecophysiology