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We are seeking an outstanding candidate to undertake a Psychology research project in a co-funded industry-based PhD titled: Whose problem is it anyway? Navigating shared responsibility for child
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PhD Scholarship Opportunity: Monash University Accident Research Centre - Driver Health Study Job No: 684883 Location: Clayton Campus Employment Type: Full-time Duration: 3.5 years fixed-term
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Benefit amount Up to $12,000 Eligible study level Graduate research Eligible student type Domestic and international students Eligible study stage Current study Benefit duration One-off Summary The Arts PhD
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 29 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Available Scholarships PhD Student Scholarships: Development
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stimulation) and electrophysiology measures (electromyography, electroencephalography) will be highly beneficial. The PhD position is embedded within an excellent academic and research environment with a strong
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(up to $47,000 per annum for outstanding students). Additional financial support is available through research and teaching assistance work. Current opportunities As a candidate in the CHE Integrated
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Position overview:We invite highly motivated candidates to apply for a PhD position in Seismology at James Cook University (JCU), one of Australia’s leading research institutions located in tropical
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for a Monash Equity, Diversity and Inclusion Scholarship , you are strongly encouraged to apply. The succesful candidate will explore an area of research focus within MATS. The precise details of the PhD
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focus on collaborative interdisciplinary projects in cutting-edge areas of health law research. The two PhD positions are linked to an Australian Research Council Linkage Project , and you would work with
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models