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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering
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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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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
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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications