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problems and in the design and conduct of experiments Considerable skill in understanding abstract concepts and in synthesizing knowledge Oral, written, and presentation skills Ability to work
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CNM’s world-class capabilities in nanofabrication and chemical synthesis with APS’s leading synchrotron measurement tools, enabling adaptive and autonomous exploration of complex materials design spaces
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(IDs) in the APS storage ring, oversee controls for three magnetic measurement laboratories, and help design ID control architectures for next-generation light sources. This position requires strong
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networking, distributed quantum computing, quantum-system architectures, or closely related areas. Develop models, algorithms, simulation capabilities, and research software for the design and evaluation
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computational research using and developing codes for high-performance platforms Work in collaboration with experimental group to interpret and contribute to designing experiments Think and work independently and
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catalyst design. This role involves conducting multiscale modeling, spectroscopy simulations, and the development of machine learning methods and automated workflows for multi-fidelity, multiscale, and
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materials, methods and models for assessing the corrosion behavior of durable glass, glass-ceramic, and alloy materials including nuclear waste forms. Specific tasks may include material production; designing
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an independently-funded research program within 2-3 years. The successful candidate will develop and apply advanced data-driven methodologies to accelerate discovery in materials/chemistry design, characterization
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, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone
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discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any