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transfer. Preferred Qualifications: Experience with building energy modeling and simulation tools such as EnergyPlus, or similar platforms for energy simulation and analysis, including model development
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principal investigators, management, engineers, fabricators, modelers, and test campaign personnel. Supporting large complex nuclear safety analyses focusing on integrated used fuel storage, transportation
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, nuclear material tracking systems, and modeling and simulation tools that inform operational decision-making and policy. The Division collaborates extensively across ORNL and the broader DOE complex
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scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures. Establish R&D priorities across: AI foundation models trained on scientific and simulation data
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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(NSSD) at Oak Ridge National Laboratory (ORNL). IMCS develops and maintains state-of-the-art modeling and simulation tools supporting nuclear forensics, nuclear weapon effects, and radiological
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at Oak Ridge National Laboratory (ORNL). IMCS develops and maintains state-of-the-art modeling and simulation tools supporting nuclear forensics, nuclear weapon effects, radiological consequence management
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novel reduced order models for complex systems simulated by computational fluid dynamics and digital twin, performing fluid dynamics analysis, system modeling, analyzing results, preparing technical
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techniques capable of maintaining relationships between data and metadata. Collaborate on innovative solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and
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: Familiarity with architectural simulators (e.g., Gem5, SST) or HDLs. Quantum / Analog Computing: Exposure to quantum programming models (e.g., QIR, Q#, Qiskit, Cirq) or analog/neuromorphic systems; interest in