346 computer-engineer "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at Oak Ridge National Laboratory
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Requisition Id 15757 Overview: We are seeking a Computational Scientist for the Multiscale Materials group in the Computational Science and Engineering Division (CSED). The candidate will be
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success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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Requisition Id 15695 Overview: We are seeking a mid-level Computing Control Room Operator who will focus on responding to upset conditions in the data centers. This position resides in the HPC
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Qualifications: An M.S. in electrical engineering with a focus on power electronics applications for the grid Experience related to designing and controlling power electronic systems. Experience with power
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Requisition Id 15669 Overview: We’re hiring an AI Developer having AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and
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transformative solutions to compelling problems in energy and security. We are seeking a Section Head to lead the Enrichment Systems Fabrication and Demonstration Section in the Enrichment Science and Engineering
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, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier supercomputer, the world's first exascale computing system. This is a
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and