19 high-performance-computing-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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) efforts within the Center for Nanophase Materials Sciences (CNMS) through hardware developments. As a postdoc, you will be expected to design and build custom hardware solutions focused on integrating
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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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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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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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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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of scientific results in peer-reviewed journals and conferences. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong commitment to the implementation and
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○ Impact on program’s mission ○ Research approach ● Proposed Seaborg Researcher candidate ○ Strength of candidate Successful candidates must be approved by the ORNL Postdoc Program before receiving funding
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techniques to control the growth environment and material consistency across the wafer targeting applications in microelectronics and quantum information science. This position resides in the Functional Hybrid
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scattering, and spectroscopy. You will perform cutting-edge research on correlated and topological quantum materials. Major Duties/Responsibilities: Photon and neutron-based spectroscopy characterizations
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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