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signal processing AI/ML for communication systems Self-supervised ML, meta learning PHY/MAC optimization of wireless communication systems Robust, reliable, or explainable ML Experience with large-scale
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efficiently. Parallel computing, including algorithms and data structures, compilers, operating and runtime systems, software, programming methods, applications, and architectural support, will continue to be
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earthquake engineering; various AI-methods, such as artificial neural networks (including causal, convolutional, deep, recurrent, physics-guided), genetic algorithms, random forests, classical and symbolic
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