24 web-programmer-developer-"Prof" PhD positions at Queensland University of Technology
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project
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sequelae of paediatric sepsis—encompassing physical, neurocognitive, emotional, and social impacts—follow-up care remains fragmented and inconsistent across healthcare systems. Our program is developing a
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. To email your CV and cover letter or for more information please contact, A/Prof Paige Little , Research Director, QUT Biomechanics and Spine Research Group. About the scholarship The Clayton Adam Florence
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Research Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Xcel Sodium a structured professional
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national science agency, CSIRO, will fund a $1.2 million scholarship program at Queensland University of Technology (QUT) to train the next generation of aspiring Australian roboticists. The Alberto Elfes
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modern medicine, yet remains a frequent source of avoidable harm. Building on an established program of interventional research and implementation science, the candidate will explore novel, real-world
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will be expected to work closely with the supervisory team and RACQ to co-develop a research proposal not have had any serious road safety offences in the previous 10 years, or any charges currently
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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What you'll receive You'll receive a QUT Postgraduate Research Award (QUTPRA) or Research Training Program (RTP) scholarship of $33,637, full-time, tax exempt and indexed annually, for a period of
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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