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limited to digital electronics (including FPGAs and VHDL) distributed network control, Data Integration, Management and Cybersecurity and integration of hybrid/electric vehicles into energy infrastructure
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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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to comprehensive activities in basic research as well as applied research in the fields of Nanoscience & Microsystems Engineering and Semiconductor Devices and Circuits along with knowledge and experience in VHDL
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