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public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about environmental science and ready to take the
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outcomes through conferences, seminars, and public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about
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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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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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skills in conducting data linkage analysis such as survival analysis and regression analyses. Experience in working with computer-based data acquisition and analysis systems. Ability to develop
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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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
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
and PEWER - Academic Level A Postdoctoral Fellow (Corry).pdf The Position The successful candidate will conduct independent research in molecular biology and biophysics, focusing on computational
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project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise