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solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and AI processes (e.g., model training, inference). • Develop agentic AI systems and AI harnessing
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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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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will work with a multidisciplinary team of simulation, design, and technology authorities, and should have a clear passion for R&D and a commitment to fostering team growth. Job Duties and
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding
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, remote sensing products, and model simulations. Use these datasets to inform model development, calibration, and validation efforts. Collaborative Research: Work closely with a multidisciplinary team of
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is considered, please attach a copy if not available online), and a list of three referees. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View
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secure critical infrastructure for all. Major Duties/Responsibilities: Conduct research on grid resilience assessment methodologies, including modeling and simulation of grid operations under stress