24 post-doc-computer-vision Fellowship positions at Australian National University in Australia
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X-ray microtomography applied to geomaterials mechanics. A post-doc in a related area would be a plus and we also expect a track record of independent research as evidenced by publications in peer
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with concrete real-world applications Engagement with Defence Science and Technology Opportunity to hone supervision skills. Position Overview The Robotics group at the ANU School of Computing is opening
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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and pursue innovative scientific ideas. A strong vision for your contribution to the project, aligned with its overarching goals, will be essential. The successful candidate will thrive in a
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, including peer-reviewed publications and collaborations. They will demonstrate innovative thinking, a clear research vision, and a commitment to securing competitive external funding. The successful applicant
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platform with global ambitions. The Position Funded through the Medical Research Future Fund (MRFF), this position will play a central role in developing computational tools and AI-based approaches
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community, check out our Twitter and Instagram . We have a reputation for international leadership and innovation, focused on developing new methods, whether experimental, analytical or computational. Our
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University. Located within the School of Art and Design, the Design program combines contemporary design methods and digital technologies with hands-on making. It prepares graduates who are skilled, inventive
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to the world's greatest challenges and helping us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational