385 parallel-and-distributed-computing-"CERN" positions at Oak Ridge National Laboratory
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, reliable, predictable, and efficient operations. This scope includes the HFIR maintenance program and processes; implementation of corrective, predictive, preventative, and modification work activities; work
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for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our
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research in power electronics, distributed energy resources (DERs), advanced control systems, grid-edge technologies, and system integration. The position requires independent technical leadership in
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circuit design, power distribution hardware, embedded systems, and industrial sensing applications. The successful candidate will be a highly motivated and creative problem solver, comfortable parsing
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to perform research on innovative accelerator electrical applications. Ensure compliance with environmental, safety, health, and quality program requirements. As a member of the ORNL scientific community, you
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of experience in facility systems, operations, and maintenance. Preferred Qualifications: Experience in HVAC and their control systems, industrial piping design, and in 480 VAC 3 phase power distribution
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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efforts across scientific systems. Develop and apply federated learning on distributed and heterogenous datasets. Develop more efficient and resilient DP techniques that minimize performance loss while
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ORNL’s research mission. The success of every research project at ORNL depends on the Utilities Division’s ability to provide uninterrupted utility services. These utilities include electrical distribution
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and