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to execute autonomous experiments, and advance laboratory autonomy and robotics. RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the orchestration
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a related field, supplemented by at least 15 years of experience that includes demonstrated accomplishments in scientific leadership. Internationally recognized research stature in electrochemistry
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Designing and carrying out time-resolved X-ray experiments using MEMS-based X-ray optics We are seeking highly motivated candidates who can drive the project independently while working closely with senior
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learn from experiments at unprecedented scale. For more information: Rapid Prototyping Lab: https://rpl.cels.anl.gov/ Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery MADSci
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go