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. Experience with quantum algorithms (other than variational or adiabatic) and/or quantum hardware Knowledge of topological quantum field theories, topological band theory. Strong analytic mathematical skills
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field completed in the last 5 years Experience in polymer or organic synthesis and characterization methods Preferred Qualifications: Knowledge and expertise in multi-step organic synthesis including
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. The Learning Systems Group at the Oak Ridge National Laboratory focuses on artificial intelligence and computational research and applies this knowledge to support the nation’s leading initiatives. We hire top
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Qualifications: Extensive experience with twisted materials fabrication and characterization. Knowledge of correlated-electron physics. Experience with spin-polarized scanning tunneling microscopy and quantum
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additive manufacturing. Excellent skills and experiences of solid-mechanics, heat transfer and HPC simulations of welding residual stresses, and welding process simulations Excellent skills and knowledge in
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performance modeling, static analysis, or PIM/heterogeneous architecture research. Knowledge of large-scale scientific computing applications and algorithms (sparse linear system solvers, dense matrix
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Requisition Id 15854 Overview: We are seeking a research professional with fundamental knowledge in artificial intelligence (AI) who will focus on developing and applying AI algorithms to signal
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, and access world-leading research computing facilities—all while working on problems of genuine national significance. We seek outstanding candidates with broad knowledge of hydrology and water
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the last 5 years Preferred Qualifications: Strong background in experimental systems related to heat and mass transfer systems. Knowledge of CFD tools and analytical modelling is preferred. Experience with
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data