44 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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to the performance of high-power accelerators such as the Spallation Neutron Source (SNS). The goal of this work is to demonstrate predictive modeling of beam distributions in a realistic accelerator, and as such
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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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to the performance of high-power accelerators such as the Spallation Neutron Source (SNS). The goal of this work is to demonstrate predictive modeling of beam distributions in a realistic accelerator, and as such
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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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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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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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-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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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in
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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