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the following is also preferred: Programming & Data: Python scientific stack (numPy, pandas, scikit-learn). Jupyter Notebooks for exploratory analysis and prototyping. Machine Learning & AI: PyTorch, TensorFlow
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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analysis. In this role, you will perform design engineering and support manufacturing and fabrication of reactor core components, fuel elements, control rods and plates, etc. You will also handle maintaining
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, statistical modeling, or physics-informed data science methods. Knowledge of nuclear nonproliferation mission areas, including safeguards, facility monitoring, arms control, or nuclear fuel cycle analysis
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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: Past hands-on involvement in software systems, data systems, analytics, computer driven distributed data processing, geomatics, image analysis, remote sensing, or geospatial research projects. Experience
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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knowledge of strategic finance and financial data analysis with experience in operating facilities. Visa Sponsorship: Visa sponsorship is not available for this position. Security, Credentialing, and
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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning