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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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Join a cutting-edge research initiative developing breakthrough sanitation technologies for global impact. This fully funded PhD or MSc by Research opportunity, sponsored by the Gates Foundation
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or Phd
toilet system deployment. This project offers exceptional opportunities including access to cutting-edge manufacturing equipment (SLS, SLA, FDM, DLP 3D printers, CNC machines, laser cutting systems), hands
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conduct interdisciplinary research combining software engineering, artificial intelligence, IoT development, and human-computer interaction to create intelligent software systems that serve both technical
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This research project, part of the Gates Foundation’s global health initiative, involves detailed chemical and biological analysis of liquid and solid waste from innovative toilet systems. Students will handle real human waste samples to develop robust protocols for solid and liquid waste...
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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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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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Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates: Education Masters or PhD degree in
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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