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Masters of Artificial Intelligence and Machine Learning COMP SCI 7205A - Artificial Intelligence and Machine Learning Research Project A in Trimester 3, 2025 AND COMP SCI 7205B - Artificial
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seeking graduate students (Master’s and/or PhD) to conduct cutting-edge research in: Heterogeneous systems for quantum and safety-critical systems. We offer fully funded positions, including tuition support
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real-world deployment scenarios and collaborate with global organizations to ensure practical implementation and scalability. Key Research Areas: Software engineering, AI/machine learning, IoT
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Smart sanitation technology represents a critical intersection of automation engineering, embedded systems, and global health innovation. With 3.6 billion people worldwide lacking access to safely managed sanitation, automated toilet systems equipped with IoT sensors, intelligent controls, and...
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The Australian Institute for Machine Learning (AIML) offers new supplementary scholarship opportunities for Master's students in Machine Learning. These scholarships support students undertaking
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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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, please contact the hiring
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candidates as required. To learn more about these options, please contact the hiring team using the contact information below. Discover the possible Anything is possible at the National Research Council (NRC
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About the role The successful candidate will be a dynamic and committed academic who can teach on the MA Corruption and Governance (delivered on campus and online) and may also teach on final year
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Administration, Chemistry, Communication, Computer Information and Office Systems, Culinary Arts, Developmental Education, Early Childhood Education, Education, Emergency Medical Services, English, Fire Science