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preserving research initiatives, with emphasis on distributed energy resource management. Under the guidance of senior research scientists, the selected applicant will take roles on multidisciplinary teams
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all group projects, ensuring alignment with emerging industry and research trends. Drive the adoption of modern data technologies such as cloud-native architectures, distributed computing frameworks
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of relevant experience in Linux systems administration or HPC systems engineering. Preferred Qualifications Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing
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, maintaining, and distributing Human Reliability Program (HRP) paperwork. Collaborate and support other medical specialists such as nursing, physicians, or psychologists with professionalism and discretion
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large-scale training and post-training pipelines (including distributed data/compute and evaluation harnesses). Collaborate with domain scientists and external partners; co-develop end-to-end AI workflows
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algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
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Requisition Id 15579 The Organization: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific
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for distribution to internal and external stakeholders including laboratory staff and peers, industry, academia, government sponsors, and the public at large. Participate in planning for and production
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Performance Computing, particularly queueing and high-speed networking. Strong knowledge of multiple Linux distributions is preferred. Strong knowledge of open-source web application services (Apache, Tomcat
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) devices, multi-core computer processors and in-network computing. You will have ample opportunity in these areas for on-the-job training, and you will take part in ensuring the proper operation of