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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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Application dates Applications close7 July 2025 What you'll receive For Master of Philosophy students, you'll receive: a top-up stipend scholarship of $10,000 in equal instalments. This is the full-time, tax-free rate first instalment paid after research proposal milestone is finalised second...
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What you'll receive You'll receive a stipend scholarship of $32,500 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. This is the full-time, tax-free rate. If you're
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the safety of vulnerable road users. What you need to succeed Completion of a PhD in a relevant discipline area (e.g. road safety, occupational health and safety, psychology, public health) in any of the key
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behaviour in support of a positive traffic safety culture; (ii) improving the safety of young drivers; and (iii) improving the safety of vulnerable road users. What you need to succeed Completion of a PhD in
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What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria
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Application dates Applications close30 May 2025 What you'll receive You'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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What you'll receive The P2P program provides financial support if you're: studying a PhD or professional doctorate articulating from a QUT Master of Philosophy into a PhD undertaking a postdoctoral
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to receiving the formal written notification. If successful, you will be invited to attend the annual Faculty of Health Student Awards Ceremony. Conditions To retain your Garawa Nursing Scholarship and receive
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed