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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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. The successful candidate will leverage fabrication capabilities available in the Center for Nanoscale Materials (CNM) to tailor the high-pressure sample environment in diamond anvil cells. To this end, two main
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of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap
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and oral communication skills Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Desired Skills: Experience with two-phase/multi-phase flows as evidenced by
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, etc.) and quantitative data analysis. Excellent written and oral communication skills. Ability to work effectively in a collaborative, multi-institutional team environment. Ability to model Argonne’s
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in