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School of Electrical Engineering and Computer Science Part-time (40%), fixed-term position through to April 2028 Base salary will be in the range $137,542.79 - $158,351.30 + 17% Superannuation
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Research Fellow - Quantum Control and Quantum Computing Job No.: 667644 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $114,951 - $136,505
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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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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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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the Faculty, the Department of Electrical and Computer Systems Engineering (ECSE) offers internationally acclaimed programs in power systems, telecommunications, electronics, robotics and biomedical engineering
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 hours ago
Discovery and the Biomolecular Resource Facility, and you’ll work closely with computational biologists, biomedical researchers, and other RNA experts. The Person We're looking for someone with a strong
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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Capability is a $250 million enterprise powered by UoA and UNSW, with funding from the Australian Government through the Trailblazer Universities Program, as well as university and industry partners. Our