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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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a $50 million investment from the Snow family over 10 years. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
project aims to develop new method that adapts the structural and chemical information at different length scales into traditional crystallography, allowing to build a precise chemistry-structure-property
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challenges: Successful candidates will contribute to one or more of the following research domains: development of autonomous navigation and path planning algorithms for lunar terrain traversal and regolith
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Snow Vision Accelerator, a groundbreaking partnership between the University of Sydney and Snow Medical , backed by a $50 million investment from the Snow family over 10 years. Our mission is to develop
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at Level B, you will develop and maintain strong working relationships with our clinical and research partners and other stakeholders to facilitate the delivery of current projects and develop future
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hyperspectral imagery, useful for disease detection and monitoring. Develop validated satellite data simulation methodology. Develop disease detection and differentiation algorithms demonstrably effective on both
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and Dr. Daniel Stjepanovic on a range of NHMRC-funded research projects (e.g., social media and addiction, AI-assisted intervention), and work under the supervision of the Prof. Jason Connor, Director
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years of continuous R&D. It transforms pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics