313 associate-professor-computer "https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" positions at Oak Ridge National Laboratory
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Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: BS degree in
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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 15716 Overview: We are seeking a Postdoctoral Research Associate - Meteorologist who will focus on the development, testing, and deployment of data analysis methods for a variety of
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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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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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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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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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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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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
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research associate position in AI for science. The Learning Systems Group seeks a postdoctoral researcher specializing in federated learning and privacy-preservation algorithms. The successful candidate will