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/Qualifications PhD in computer science, electronics, physics, or equivalent. Experience in FPGA systems, resource-constrained algorithms, and ML for embedded systems. Interest in physics and cutting-edge
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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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for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile You should have a PhD in physics, photonics or a related field, with a