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-breaking discoveries to a life-changing career, discover your possible at the NRC. The role We are looking for an AI/ML core algorithms researcher who can develop foundational machine learning algorithms
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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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to the development of advanced autopilot algorithms, automated navigation systems, collision avoidance technologies, and mission planning software for small to large-scale RPAS platforms. The role will support RPAS
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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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; Secure research spaces for specialized projects. The Drone Laboratory provides a controlled environment for spectrum characterization, RF algorithm development, countermeasure testing, and integration of C
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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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validating machine learning models and deep learning algorithms; analyzing large datasets, perform data cleaning, transformation, and feature engineering to prepare data for model training; deploying AI
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. The incumbent is involved in designing, training and validating machine learning models and deep learning algorithms; analyzing large datasets, perform data cleaning, transformation, and feature engineering to
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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