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characterization, and predictive fault tolerance in HPC systems. Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific
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photosynthesis to join the new pilot study of Generative Pretrained Transformer for genomic photosynthesis (GPTgp). The GPTgp project aims to develop a foundational holistic model of photosynthesis that will scale
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to validate modeling predictions. A desire to mentor early career researchers and students. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to
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Visio and Autodesk AutoCAD experience Experience with hydraulic modeling program such are AFT Arrow & AFT Fathom Experience in a testing & development environment Q or L clearance: This position requires
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methods to work with a team of scientists in CSD to model chemical reactions important to determine the longevity of amorphous materials. That mechanistic information will be incorporated into process-based
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such as quantization, model pruning, approximate attention (linear and sparse) and proposing new mechanisms for tackling speed, accuracy, as well as energy issues, for large language mode (LLM) inferencing
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(e.g., deep learning, implicit neural representations, diffusion models) for CT reconstruction, enhancement, and defect detection. Advance algorithms for multi-modal tomography (X-ray, neutron, electron
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exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector hardware located at W7-X such as
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materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and
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) technologies. Experience with AI/ML concepts and tools (e.g., scikit-learn, TensorFlow, or similar) for basic data analysis and predictive modeling. Experience with relational databases (e.g., PostgreSQL, MySQL