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into photonic or electronic systems Hands-on experience with SEM, AFM, TEM, and other characterization tools Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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experiment tasks, implementing the infrastructure that handles message exchange and tool calls, and devising tools that control beamline instruments and launch simulations/analyses. You will help integrate
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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devices, with emphasis on lithium-ion, sodium-ion, and lead-acid battery systems. Modeling and analysis will leverage tools such as COMSOL, MATLAB, Excel, Python, and related scientific software. The role
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tools used in analyzing vehicle energy consumption. A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Experience in data-driven
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mixed/reduced precision into existing applications relevant to ALCF's mission Developing and maintaining tools and libraries that facilitate the adoption of mixed/reduced precision computing in
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systems. Development, evaluation, and applying machine learning/computational approaches, synthesis activities, computational tools, compiling results, preparing reports, publications, and documentation
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experiments; lead experimental campaigns and contribute to operations as needed Shape independent research directions and collaborate to apply ML tools across AWA experiments Document methods and results
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analytical models, datasets, and risk monitoring tools in collaboration with DOE national laboratories and federal partners. Prepare detailed reports and briefings on methodologies, analyses, and findings
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running