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, data validation, curation workflows for a wide range of applications, federated data management, and high-performance data archives supporting science and national security missions. Purpose: As part of
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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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. Demonstrated knowledge of computer, networking, and distributed control system architecture. The ability to translate system performance and operational specifications into software design requirements and test
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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
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and providing specialty measurement capabilities as an essential part of the ORNL Radiological Protection Program. The primary focus of this position is to perform low-level radiochemical analyses
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and providing specialty measurement capabilities as an essential part of the ORNL Radiological Protection Program. The primary focus of this position is to perform low-level radiochemical analyses
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Requisition Id 14831 Overview: This position requires regular on-site presence. We are hiring a Linux HPC Engineer who will focus on supporting researcher’s high-performance computing (HPC), data
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continued operation of equipment could be hazardous. Participate in pre-job briefings. Maintain Quality Program specific to repairs, alterations, and Federal Inspection Agency (FIA). Other tasks as assigned
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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