22 machine-learning-and-image-processing-"RMIT-University" Master positions in Australia
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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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computer science Have experience in Applied Machine Learning and AI Only applicants who currently reside in Australia are eligible to apply Application process To express your interest to be involved with
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the process? Visit our scholarship guide Application How to apply You must submit the University Student Financial Assessment Form. Status: Open for applications Applications open: 20 Jan 2021 Applications
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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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Need help understanding the process? Visit our scholarship guide Application How to apply Submit an online application including: A cover letter (maximum 2 pages) outlining your: outstanding leadership
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submitted scholarship application. Study level: Graduate coursework Student type: International students Study stage type: Future study Study area: Law Need help understanding the process? Visit our
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Study stage type: Current study Study area: Education; Health Need help understanding the process? Visit our scholarship guide Application How to apply Applications will open by 1 July 2025. Submit
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We