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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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help drive ongoing efforts to implement automated spectroscopic and tomographic imaging routines enabling high throughput quantitative characterization which will help accelerate the development and
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scalable storage solutions. Architect, design, document, and optimize computer systems and automation tools, including prototype development based on user/system specifications. Develop and maintain scripts
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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computations relevant to the development of strategic nuclear performance codes for nuclear reactors. This position resides in the Radiation Effects and Microstructural Analysis Group (REMAG) in the Materials in
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respectful workplace – in how we treat one another, work together, and measure success. As a member of the ORNL scientific community, commit to ORNL’s Research Code of Conduct. The full code of conduct and a
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clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production systems
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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advocates and promotes Linux systems to researchers who process large data sets and/or develop code as a part of their project. This includes ensuring the availability, performance, scalability, and security
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. strong acids, oxidizers, or bases) Imaging samples using established optical microscopy techniques and software Maintain lab equipment, facilities, and systems so that they are ESH&Q compliant. Perform all