23 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
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materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
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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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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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/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
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Requisition Id 14396 Overview: We are seeking a High-Temperature Materials Processing Postdoctoral Research Associate. This position resides in the Surface Engineering and Tribology Group in
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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