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investigate online feature engineering, continual learning and uncertainty quantification. Balance performance with governance. Projects will evaluate risk-adjusted returns alongside interpretability
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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Status: Closed Applications open: 27/02/2025 Applications close: 8/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project forms part of an ARC
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidate will work with Dr Haoran Zuo
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The Neurophysiology of Human Movement Group at the University of Adelaide is seeking a full-time PhD student for a fully funded PhD Scholarship examining “Brain oscillations and motor function in
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different from when core theories about the role of media in society were established. We are awash in data about clicks, views, and likes, but we lack evidence about what people now do with media, how
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ADMISSION to HDR Those who apply for the scholarship opportunity that have not already applied for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging...
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two PhD scholarships as part of an Australian Research Council Linkage Project . The project will undertake the first comprehensive analysis of how Australian VAD systems are being implemented and are
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning