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experimental studies that will develop novel functionalization strategies for tethering redox-active molecules to carbon surfaces for selective, electrochemical capture of critical minerals. This position will
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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are expected to expand on recently demonstrated ideas using ptychography, coded apertures and phase masks, that capture and encode phase information in the measurement. The successful candidate is expected
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