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contributing to the design and development of advanced models, algorithms, and AI‑driven systems for renewable energy microgrids and data centers. The Research Assistant will work closely with laboratory
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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. In addition, we will explore the possibility of using LIDAR sensing to strengthen the semantic SLAM pipeline. The developed algorithms will be integrated with the perception pipeline developed by our
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-language scientific and technical programming, including Python, C++, Java, Embedded C, LaTeX, and Swift, for developing algorithms, simulations, and research workflows. Skilled in research methodology
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registry), previously developed algorithms (e.g., converting all opioids dispensed to morphine milligram equivalents), and epidemiological and econometric methods (e.g., interrupted time series analysis