21 phd-studenship-in-computer-vision-and-machine-learning Master positions in Australia
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their Master's degrees in AI and machine learning. Join AIML's research community and contribute to shaping the future of industrial AI. This innovative program is supported by the South Australian Government
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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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award, applicants must: be an Australian citizen, Australian permanent resident, New Zealand citizen, or a Permanent Humanitarian visa holder. be enrolled in a PhD or Master of Philosophy program in
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includes an extension of up to 3 months if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. Ideally, you would articulate from an MPhil to a PhD after one year
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Murdoch University Mid-Year Domestic Scholarship Round - Research Training Program Stipends (Domestic Students Only) The Graduate Research Office is pleased to announce a 2025 mid-year scholarship
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. Eligibility: To hold the award, applicants must: be an Australian citizen or Australian permanent resident be enrolled in a PhD program or Master of Philosophy, undertaking research in the area/s of obstetrics
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years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
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scholarships provide tuition fees for a period of four years for PhD candidates and two years for Masters by Research candidates. The cost of Overseas Student Health Cover (OSHC) for the duration of your visa
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/ Phd qualification). These scholarships are not applicable to recipients of other scholarships from other countries or other scholarship providers *Minimum academic requirements to be considered
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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