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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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background in microfabrication. Further, experience with experimental setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets
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strong experimental background in dual comb laser spectroscopy, frequency-locked lasers, or optoelectronics and the following skillsets: Hands-on experience with data acquisition and processing (FPGA
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