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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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conditions on land and in the ocean, in the form of biological residues or physical and chemical signals, which allow us to reconstruct feedbacks between oceanic processes and climate in the (ancient) past
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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