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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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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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. Adaptability and a willingness to learn are also important attributes, ensuring high standards of teaching quality and student engagement. Candidates will be evaluated on the suitability of their academic
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are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes here . Background Screening The University of Michigan conducts background
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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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inclusive capacity in all areas of cancer research, while fostering interdisciplinary learning, knowledge translation, mentorship, and engagement opportunities. Recognizing that underserved communities face