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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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involved with developing and coordinating tests to determine mechanical and thermal properties for use in and to validate simulations. Finally, the candidate will be responsible for providing direction in
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, physics-based simulations of fusion energy systems in partnership with the University of Tennessee-Oak Ridge Innovation Institute (UT-ORII). As part of the UT-ORII Convergent Research Initiative
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research, each year carrying out more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences. To learn more about Neutron Sciences at ORNL, please go to this link: http
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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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algebra, machine learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical
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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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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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(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will