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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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; 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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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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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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. 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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
medicine and AI-driven personalized treatment planning Human-AI collaboration in surgical safety and perioperative care AI for health equity — reducing algorithmic bias and expanding access to care