408 Education-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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Qualifications: An AS degree in information technology/related technical subject and a minimum of 5 years of experience (an equivalent combination of education and experience will be considered) Experience with
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: Conduct research and develop next-generation CFD methods (with finite volume and finite element techniques) and models for a variety of nuclear energy systems, using world-leading high-performance computing
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of chemical cleaners and power equipment to prevent damage to floors and fixtures Mixing water and detergents in containers to prepare cleaning solutions Notifying managers concerning the need for repairs
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(or equivalent combination of education and experience). Demonstrated experience managing training/qualification requirements in a complex operations and/or research environment. Preferred Qualifications
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access capabilities and develop end-to-end scientific workflow technologies for user programs. They identify technical gaps in the computing and data sciences ecosystems, so they can implement solutions
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integration with monitoring and observability services. Infrastructure as Code (IaC) & Tooling Develop and maintain infrastructure, configuration, and deployment automation using technologies such as Argo CD
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with the qualifications and training of the expected users. Develop and maintain FFESD Information Security Procedure and ensure it complies with ORNL policies and procedures. Coordinate its delivery
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divisions and directorates with researchers and engineers to execute excising NNSA programs. Prepare and present periodic reports documenting research and development activities. Ensure compliance with
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facility in the nation. We are seeking to add to our team an energetic and creative postdoctoral research associate. Major Duties/Responsibilities: Research and develop the next generation of advanced
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and