294 computing-"https:"-"https:"-"https:"-"Genentech" positions at Oak Ridge National Laboratory in United States
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have high level of organization and computer skills, working knowledge of PC, Microsoft Office (Word, PowerPoint, Excel, Access, Adobe Acrobat). Motivated self-starter with the ability to work
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confidentiality on control system computers. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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proactively as part of a dynamic, cross-functional team developing and overseeing a governance framework to ensure continuous improvement in research security program compliance. Maintain assurance mechanisms
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Requisition Id 16212 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Digital Media Specialist to support the Biological and Environmental Systems Science Directorate (BESSD). This position resides within the Digital Communications Group in the Communications and Community Engagement...
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systems against adversarial threats. Leveraging ORNL’s world-class high-performance computing (HPC) infrastructure—including Frontier, the world’s first exascale system—CAISER conducts end-to-end AI
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Requisition Id 15859 Overview: We are seeking a Group Leader (GL) for the HPC Storage and Archive group in the National Center for Computational Sciences (NCCS). Selection will be based
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high level of scientific productivity. Ensuring compliance with environment, safety, health, and quality program requirements. Maintaining a strong commitment to the implementation and perpetuation
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to various ORNL organizations, other DOE contractors and vendors as requested. Provides packaging and transportation guidance and instructions (written and/or verbal) to ORNL staff to help with program/project
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performing x-ray computed tomography (XCT) imaging and the data analysis of images acquired using that method to identify features of interest and perform quantitative 3D image segmentation. The candidate will
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and