28 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
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support the Plutonium-238 Supply Program at ORNL that is responsible for producing plutonium-238 for NASA in support of powering deep space missions. Major Duties/Rsponsibilities: Perform experimental and
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, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
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the emerging bioeconomy by (1) reducing agricultural inputs, (2) increasing biomass production, and (3) improving high value bioproduct yield across the major bioenergy feedstocks within the genus Populus
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NCCL. Knowledge of high-performance computing and its applications. Additional Information: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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. Knowledge of high-performance computing and its applications across the computing continuum. An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed
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(CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position is focused on the advancement of high-precision mass spectrometry and innovative chemical methods
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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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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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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