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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 11 hours ago
to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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social media content Experience developing and giving presentations Website data entry experience Excellent IT skills and ability to learn new systems quickly Additional Information Standard Hours/Schedule
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applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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at University of Copenhagen. The Doctoral Candidate will be supervised by Professor Petra Daryai-Hansen. IRP13 is embedded into Work Package 4 (WP4) ‘Language learning and plurilingualism in the era of GenAI’. In
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
for a better world and solutions that can change everyday life. Department of Structural Engineering We teach mechanical engineering, engineering and ICT, and civil and environmental engineering. The
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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. Support workforce development and training programs associated with the center. Teach occasional undergraduate or graduate courses within the Rail Transportation Engineering (RTE) program when needed
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recognition Individual and group behaviour understanding Long-term behaviour prediction Multi-task learning and foundation models Zero-shot and open-set recognition Privacy-preserving AI using anonymised human
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in