222 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Oak Ridge National Laboratory
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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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Qualifications: Requires a bachelor’s degree in computer science, computer engineering, or related field and a fundamental understanding of cyber security principles, tools, and operational applications. Preferred
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: Requires a bachelor’s degree in computer science, computer engineering, or related
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another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a
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Requisition Id 15246 Overview: We are seeking a Process Engineer to provide process design and system engineering support to develop, design, implement and provide operations support for a variety
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transformative solutions to compelling problems in energy and security. We are seeking a Technical Procedure Coordinator who will support the Enrichment Science and Engineering Division (ESED) within the Isotope
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Computer Science or a related discipline. A strong
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Requisition Id 15276 Overview: We are seeking a postdoctoral research associate who will study the dynamics of high-intensity proton beams in the Spallation Neutron Source (SNS) ring. This project
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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with