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of Large Language Models (LLMs) for scientific use cases. This position focuses on advancing LLM capabilities to address complex challenges across a range of scientific domains. As part of a
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range of molecular systems, including: Transition-metal complexes (e.g., chiral ruthenium and iridium complexes) Local and nonlocal inner-shell decay processes in solvated ions and transition-metal
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on developing a new hybrid light–matter platform that couples transition metal complexes with optical microcavities to achieve optical control over ultrafast spin conversion and charge transfer
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(completed within the last 5 years or nearing completion in 2026). Proven ability to conduct independent research or technical development, analyze complex systems, and publish results or deploy production
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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critical thinking skills; intellectual curiosity. Able to structure and formulate solutions to complex problems. Highly motivated and detail oriented with the ability to work independently and in close
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, and related techniques Conduct electrochemical testing and benchmarking; analyze and interpret complex datasets to elucidate mechanisms and structure–property relationships Document results and lead
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of complex hydrocarbon mixtures, reactions under various conditions including operando studies, and product characterization. The ability to work collaboratively with teams and individuals in other
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optical and THz techniques. Ability to analyze and understand complex data set is required. Experience to lead ultrafast x-ray scattering or electron scattering experiments is a plus but not required
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simulations and experiments across scientific user facilities, leveraging data to understand complex material phenomena across scales. Key Responsibilities Design, implement, and validate physics-informed AI/ML