270 parallel-computing-numerical-methods-"https:" positions at Oak Ridge National Laboratory
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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at ORNL! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-STAFFFELLOW [#27209] Position Title: Position Location: Oak Ridge, Tennessee 37831, United States of America [map
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem
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regulatory requirements. Experience with conduct of operations or equivalent programs (e.g. DOE O 422.1, NRC licensed facilities, Naval Nuclear Propulsion Program, etc.). Experience with hazardous reactive gas
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Group, Theory & Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL. Major Duties/Responsibilities: Design, implement, and deploy advanced
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Requisition Id 15602 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of
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-year project with several subcomponents that will be developed in parallel. This role will play crucial role in collating requirements from the program managers for the project subcomponents and
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Community with emphasis on diverse technical environments. High-performance computing (HPC) specialization such as cluster management, parallel computing, and performance optimization. Hardware and software