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hardware design (Verilog/VHDL), FPGA-based acceleration, etc. Experience with deep learning frameworks like PyTorch, Keras, or TensorFlow, and tools such as Jupyter Notebook, is expected. A strong foundation
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. Specific requirements of the candidate Applicants should have a strong background in cryptography, FPGA design, or embedded systems. Experience with hardware design (e.g., Verilog/VHDL), post-quantum
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