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for mining and aerospace applications. This may interest scientists/engineers in fields such as physics, mathematics, computer science with experience in computer vision. The position is based in Brisbane, co
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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the largest computer vision and machine learning research group in Australia with over 180 members including academics, research staff and students. The AIML works on a mixture of fundamental and
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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strong partnerships with government, industry and community to shape a flourishing academic music program. Foster a collaborative, high-performing culture where teamwork is valued, and individuals
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conditions including free gym, paid staff meetings plus other benefits - Actively contribute to an inclusive, high-quality educational program, and build positive and respectful relationships with children
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, education, and workforce development across the Northern Territory. We engage with students, community, and stakeholders to provide critical programs, such as the Northern Territory Medical Program
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teaching equip the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do
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to deploy soft sensors in real-time environments. Key responsibilities will include: Under the guidance of senior researchers, program process models for the minerals processing industry Assist with