45 software-defined-network-phd Postdoctoral positions at Oak Ridge National Laboratory
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science/engineering, physics, applied physics, engineering, or a
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of researchers, technical professionals, and software developers focused on conducting research in world-class facilities and deploying science-based knowledge in real-world applications. The position supports
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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environment. You will play an integral role in the development of PiFM and closely collaborate with other scientists across the network of NSRCs for synthesis, device fabrication, theoretical calculations, and
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software engineers within the Computer Science and Mathematics Division, providing an opportunity to work in a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron
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aspects of sustainable energy. The candidate should be an independent thinker and able to participate creatively in defining and refining research directions. Major Duties/Responsibilities The successful
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and able to participate creatively in defining and refining research directions. Major Duties/Responsibilities: The successful candidate will interact with a team of scientists and engineers at ORNL in
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, accelerator, seismology, nuclear), applied mathematicians, and computer scientists. Our group focuses on research and software artifacts in highly cited journals and conferences, helping to enable bleeding edge