99 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" positions at Oak Ridge National Laboratory
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queries for Microsoft SQL Server databases to support application functionality and data needs. Analyze application code and data to identify issues, answer questions related to system operations, and
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can lead computational and experimental activities using commercial codes to compare with experiments and also be able to develop new computational models and computer programs. The successful candidate
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of complex HPC infrastructure and performance issues. Automation, Security & Modernization Develop and advance automation using Python, Bash, Ansible, Git, and infrastructure-as-code practices to improve
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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improve access to divertor-relevant target exposure conditions. Validate simulation results against experimental data and constrain code inputs to reduce uncertainty in predictions for future experiments
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backed by demonstrated recent and relevant research and development in the field is a fundamental requirement of this position. Experience with neutron transport and reactor analysis software (SCALE code
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and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA, OpenMC, MCNP, Serpent
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and thermal-hydraulics analysis. Major Duties and Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA, OpenMC, MCNP
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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-state models for kinetics, and (vi) experience in coding and HPC workflows. Knowledge of or experience in Bayesian uncertainty quantification, generative diffusion models with a general familiarity with