250 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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workflows that enable reliable extraction of magnetic interactions from neutron and complementary measurements in a high-performance computing environment. Major Duties/Responsibilities: Develop and apply
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, characterizing new or unusual radiation fields for personnel dosimetry purposes, and assisting in conducting training and evaluating performance of the External Dosimetry Program (EDP) staff. Specific
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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Requisition Id 15560 Overview: We are seeking a Senior Program Manager who will focus on the day-to-day management on a large-scale scientific research and development portfolio related to national
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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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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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High Performance Computing (HPC) group to apply leadership expertise coupled with technical proficiency to forge the pathway for this new group. This position combines advanced technical skills with
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Requisition Id 15564 Overview: Oak Ridge National Laboratory (ORNL) is seeking an Isotope Science and Enrichment Program Integration Manager to lead the development and oversight of master
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phenomenological and/or computational methods for quantum/classical dynamics in complex system. Preferred Qualifications: Rich experience with modeling in spin or atomic dynamics will be highly advantageous. Basic
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and