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PhD candidates at ACSPRI Member Institutions are invited to apply for the 2026-27 ACSPRI Fellowship Program. This year the application process has been streamlined into 2 stages to make it less
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intelligence, cyber security, human centered computing, enterprise systems, software systems, and computer science education. The team is committed to promote high-quality research activities in these areas
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and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
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-term appointment through to 30 June 2027 This position will be directly involved in the delivery of the research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
evaluated on physical robots. The ideal candidate would have: A PhD (or close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by
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such models and produce reports and scientific papers on this work. The successful candidate will have a PhD qualification in AI, computer science, atmospheric science, climate science. You will also
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include