351 application-forms "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory in United States
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Requisition Id 16146 Overview: We are seeking a detail-oriented, proactive Agile Scrum Master to support our suite of software applications for the Industrial Technologies Office (ITO) Better Plants
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unique opportunity to shape the future of scientific discovery by attracting and securing top-tier scientific and technical talent. As a trusted advisor to hiring managers and business leaders, you will
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Requisition Id 16180 Overview: Oak Ridge National Laboratory is currently accepting applications for the position of Group Administrative Assistant, providing administrative support to science and
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the Linux environment. Configure, deploy and update containers in a Docker/Kubernetes environment using GitLab CI/CD pipelines. Develop documentation for systems/applications deployed. Able/willing to learn
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) Technician to support research and development (R&D) activities that advance isotope enrichment technologies and stable isotope production. The EI&C Engineering Group focuses on the application of hardware and
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Community agencies' mission including an extensive understanding of applicable laws, orders, guidelines, directives, policies and procedures Capability to analyze and strategically evaluate foreign
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understanding of ferroelectrics, especially in thin film form. Experience in Python and/or Matlab. Experience in materials characterization techniques such as Raman, X-ray diffraction, and scanning electron
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Requisition Id 16193 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Production Engineer for our world class radioisotope production program. Supporting the largest radioisotope
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applicable for performance evaluations of building envelope components and systems. Experience to calibrate sensors applicable for performance evaluations of building envelope components and systems. Basic
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GeoServer and ArcGIS Enterprise. Manage application deployment workflows utilizing Docker. Design database tables and integrate new datasets into existing database models. Use Python to process large