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for neutron scattering research, each year carrying out more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences. HFIR also provides unique facilities for isotope
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication record with publications in
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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: PhD in
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Requisition Id 15408 Overview: Oak Ridge National Laboratory (ORNL) (https://www.ornl.gov/) is the largest US Department of Energy science and energy laboratory, conducting basic and applied
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years. An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed journals and conferences Demonstrated research experience with HPC, AI/ML and/or
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within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite elements methods Modern machine learning
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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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experiments to neutron reflectometry studies. The main objectives are: (1) To implement fluorescence microscopy techniques and Flicker spectroscopy to studies of DIBs under electrical stimulation; (2) Use other
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journals/conferences related to scientific visualization, scientific computing, and/or uncertainty quantification. Strong experience in using techniques or tools relevant to scientific visualization, ML/AI