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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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, Computer Science, Experimental Subatomic Physics, or related fields. Relevant research experience in firmware programming (e.g. with VHDL) and resources optimization for specific FPGA architectures
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, such as the ARM Cortex-M microcontroller for medical device applications Fluency in Matlab, Python, Embedded C, VHDL Ability to assess resource requirements and use resources effectively Understanding
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