253 associate-professor-computer "https:" "https:" "https:" uni jobs at Oak Ridge National Laboratory
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) at Oak Ridge National Laboratory (ORNL) is seeking a Research Associate to perform R&D in the areas of bulk power systems electromagnetic transient (EMT) simulations, high-fidelity dynamic and transient
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information
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Requisition Id 15886 Overview: We are seeking an R&D Associate who will lead and execute research focused on processing–structure–property relationships, advanced manufacturing scale-up, and
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briefings or field visits. Uphold ORNL’s safety, quality, and ethics standards. Basic qualifications: Bachelor’s degree in any scientific, engineering, or related field (e.g., physics, computer
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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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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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to ecosystems; large-scale field experiments; and ORNL transformative computing approaches—including the world’s first exascale system, Frontier. Major Duties and Responsibilities: The Associate Laboratory
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Requisition Id 15730 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Research & Development Associate Staff Scientist to support research directed towards developing
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strategies. This leadership role will serve as the Group Leader for the Remote Sensing and Environmental Informatics (RESI) Group. The group’s mission is to build world-class capabilities in scientific data