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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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capabilities to localize and map their operational environment, in order to gain situational awareness. We have been working on vision-based semantic SLAM algorithms to imbue the log-loading machines with
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. Knowledge of machine learning algorithms. Proficiency in Canvas and content organization. Excellent communication skills. Responsible and punctual.
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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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of new algorithms and technologies. Capturing value from these algorithms and technologies requires an interdisciplinary approach, engaging health and health science professionals in the design and
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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to: Quantum computation (hardware), algorithms, and software – Quantum communication, networks, and cryptography – Quantum metrology, sensing, imaging, and materials.). No limit of projects per Canadian
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summarizes data outputs to on how well various algorithms are performing. · Monitors analytical tools and troubleshoots common software or script errors as they arise. · Handles the daily
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Mechatronics with a specialization in Physical AI. This role offers the opportunity to move beyond traditional design and directly integrate cutting-edge Artificial Intelligence algorithms into complex real