34 software-defined-network-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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) efforts within the Center for Nanophase Materials Sciences (CNMS) through hardware developments. As a postdoc, you will be expected to design and build custom hardware solutions focused on integrating
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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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photophysical processes, photochemistry, and electronic spectroscopy. Experience using and integrating quantum chemistry software packages into workflows for excited-state simulations (e.g., OpenMolcas, Molpro
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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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community of users, staff, postdocs, and students. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote
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of control software (Python, Labview, etc.). Experience with the use of PPMS, XRD, dilution refrigerator, SQUID, XPS, scanning probes, soft x-rays, and neutrons. Excellent written and oral communication skills
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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
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quantum efficiency for 4D-STEM applications. Integrate the camera system into electron microscopes at ORNL, developing firmware and software for event-based continuous data streaming. Collaborate with
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: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length
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(https://cbi.ornl.gov/ ). The Plant Systems Biology Group seeks to explore and understand the network of traits, genes, proteins, metabolites, and environmental signals that lead to improved plant