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) modulation, digital signal processing (DSP), and power-efficient IC design. The results of your research could potentially pave the way also for breakthroughs in other applications that demand large arrays
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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, intelligent vehicles / robotics, acoustics and signal processing, computer vision. Demonstratable experience in applying Deep Learning, using PyTorch, TensorFlow, JAX on real-world sensor data. Experience with
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directly into memory arrays, the proposed approach significantly reduces data movement and energy consumption. To ensure dependable operation under real-world conditions, efficient fault detection and