27 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
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degradation and lifetime assessment models for high temperature materials and coatings. As a postdoc, you will employ state-of-the-art technology, research equipment and computational resources to enable
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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct
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capabilities in microscopy platforms for the CNMS research and user communities. Work with ORNL’s 3D printing and machining facilities to ensure the design and fabrication of high-quality, reliable assets
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in presentations. Preferred Qualifications: Experience designing and implementing custom hardware acceleration solutions on FPGAs for the purpose of high-performance computing, real-time data analysis
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.) Understanding of computational scaling techniques for machine learning and high-performance computing Preferred Qualifications: A strong publication record demonstrating either core machine learning capabilities
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computing platforms Perform large-scale multiphase Reynolds Averaged Navier Stokes (RANS) simulations of reactor cores, heat exchangers, pumps, pressurizers, and condensers Support coordinated multi-physics
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-sensing data fusion, data analysis and feature extraction. Expertise in High Performance Computing. Working knowledge in system integration, data acquisition, and hardware control. Basic knowledge in
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions
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diverse set of scientists working at the ORNL’s neutron scattering and high-performance computing facilities. Desirable skills include expertise in biological structure determination and in biophysical
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML