372 parallel-and-distributed-computing-"Computer-Vision-Center" PhD positions in Australia
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Skip to content La Trobe University > Study with us > Scholarships > Other Scholarship opportunities > La Trobe Analytics and Insights Scholarship - 50% and 100% La Trobe Analytics and Insights
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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Machine learning has recently made significant progress for medical imaging applications including image
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education, pursuing their own research project during the mobility period, parallel to joining a research group and having a host supervisor at Lund University. For information about eligibility and selection
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at Australian National Research Agency - CSIRO Data61; the distributed security systems group of Data61 will provide support and co-supervision; AI-focused course work and keynotes delivered by
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as computer vision, navigation and planning. Some of your key responsibilities include: - Developing software that can be deployed to UAVs. - Carrying out research relevant to the above, in
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Office of the Senior Deputy Vice-Chancellor and Provost and leads the University’s environmental sustainability agenda; translating our institutional Climate and Nature Transition Plan 2026–2032 into
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engineering and computer science, mathematics, physics, or statistics. It covers full tuition fees for one year of academic study and a $45,000 USD stipend. Read more . Neurological Foundation Doctoral
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
About this scholarship Once every three years the Research School of Earth Sciences may offer a PhD scholarship known as the Chappell and White PhD Scholarship ("the Award"). The objective of the
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based on Pre-Computation", IEEE Transactions on Dependable and Secure Computing 2019 #digitalhealth Required knowledge Preferable: Knowledge of either cryptography or ML (having knowledge of both
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based on Pre-Computation", IEEE Transactions on Dependable and Secure Computing 2019 #digitalhealth Required knowledge Preferable: Knowledge of either cryptography or ML (having knowledge of both