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. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
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boiler, fuel storage pit, fuel augers and other handling components, conveyors, sensors, air locks, fans, ash system, and associated instrumentation and controls. Must be able to read and interpret
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language learning, graph neural network Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems Proficiency in using Python and machine
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Detection: Develop and implement algorithms for identifying oscillations in the grid and extracting important oscillation modes (frequency, damping, etc.). System Strength Analysis: Use system metrics like