64 optimization-nonlinear-functions Postdoctoral positions at Oak Ridge National Laboratory
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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our growing research team. These positions focus on developing next-generation AI and high-performance computing (HPC) methods for computational imaging and spatiotemporal data analysis. We
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and nuclear structure and reactions. The position is part of the nuclear theory team that resides in the Theoretical and Computational Physics group in the Physics Division, Physical Sciences
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Requisition Id 15527 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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Requisition Id 15478 Overview: We are seeking a Postdoctoral Research Associate to reside within the Sample Environment and Labs Section, which is part of the Neutron Scattering Division (NSD
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Manufacturing Demonstration Facility (MDF). This role offers a unique opportunity to drive impactful research on sparse scientific imaging while building a strong research profile in computational imaging and ML
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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 PSR Group
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Requisition Id 15388 Overview: We are seeking a Postdoctoral Research Associate who will work at the interface between three different groups: the Single Crystal Diffraction Group in the Neutron
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electronic structure theory (e.g., density functional theory), and machine learning based computational studies of molecular and periodic systems. The postdoc will also work within a multidisciplinary multi