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graphite with embedded stacking faults. These discoveries may pave the way for superconducting technology at room temperature. Our goal is to investigate flat band superconductivity using twisted bilayer
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to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and identification algorithms that directly interface with physical hardware. We work closely with
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levels. The candidate is expected to: Build models embedding dynamics and flexibility of process operations and related supply chains Combine analytical and data-driven surrogate models in optimization
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