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(IIoT) sensors, real-time data analytics, machine learning algorithms, and Digital Twin technologies to monitor equipment health, predict failures before they occur, and recommend optimal maintenance
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networks Machine learning and data analytics FPGA, embedded platforms, or real-time systems Specific Requirements The successful candidate should demonstrate: Strong analytical and problem-solving skills. A
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of compensating for nonlinear PA characteristics under dynamic operating conditions. Advanced machine learning and neural network approaches will be explored to improve linearization performance while reducing
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