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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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@ornl.gov (For postdocs, use [email protected] ) with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login to your account
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and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted
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related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. The MsM group also develops artificial intelligence (AI) and foundational ML models
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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 Documents section, select Add a Document Security
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to [email protected] (For postdocs, use [email protected] ) with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login
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with the position title and number referenced 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 Documents
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applying for this position. You can upload these directly to your application or have them sent to [email protected] with the position title and number referenced in the subject line. Instructions
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified
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. The candidate will collaborate with multidisciplinary researchers in robotics, surveying, remote sensing, and artificial intelligence. This on-site position resides in the Building Envelope Materials Research