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. Generate, curate, and augment training datasets using FEFF-based simulations and experimental data. Conduct beamline experiments to validate model predictions and integrate them into real-time analysis
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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information at BNL | Benefits Program In this position, you will conduct first-principles simulations and data-driven analyses to understand and design catalytic materials with targeted redox and adsorption
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not mandatory, expertise in quantum platform software such as Qiskit or cuda-q. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches