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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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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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an essential role in normal cognitive function including in memory formation, learning, pattern separation and mood regulation. Adult neurogenesis is vital for brain repair following traumatic brain injury and
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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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available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
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must: Be an Australian citizen or Australian permanent resident Be qualified to teach in Australia Be enrolled in the Master of Education (or its successor) Be enrolled in or have completed at least two
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International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide
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support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days agoInstance Learning (MIL) methodology. Although the results obtained are generally acceptable, we have observed that CNN performance declines in certain specific situations. Specifically, in cases where