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applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line. Instructions
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of Recommendation: References are required. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section, select Add a Document
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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@ornl.gov . Please include the title of the position in the subject line. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My
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. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and
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a member of the ORNL scientific community, you will be expected to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s Office can be found here
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are subject to performance and availability of funding. Letters of Recommendation: References are required. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively