361 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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within the Environmental Informatics Hub and reporting to the Director, you’ll help lead research into sequential decision-making under uncertainty, such as reinforcement learning and adaptive management
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. This position is a funded a Snow Vision Accelerator Postdoctoral Fellowship. Learn more about the Snow Vision
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at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications. This role focuses on advancing machine learning and computer vision research, with
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and collaborations. Your strong academic record, leadership skills, and vision for independent research will drive success in this role. PhD (or equivalent) in cancer research or related field, with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
you will have A PhD in astronomy and astrophysics or a related area, A track record of articulating and prosecuting innovative research in the field of astronomy, and a vision for the activities
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contribution to research and development in IT, and in 2010 he was awarded Fellow of the Australian Computer Society. Throughout his career, Adrian’s visionary thinking, entrepreneurial spirit and unwavering
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focuses on scalable, AI-driven decision-making in collaboration with defence industry partners and an academic partner at the University of Melbourne. One role focuses on machine learning for decision