10 visiting-finite-element PhD positions at Queensland University of Technology in Australia
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of Research Excellence in Paediatric Palliative Care. The PhD program involves the design and conduct of a Discrete Choice Experiment (DCE) to explore how consumers prioritise different elements of paediatric
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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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research component from a recognised institution and in a cognate discipline. Have a strong interest in undertaking a three-year research project focused on Australian media use, which requires well
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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 Gelomics a structured professional development and
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values diversity and views it as a contributing factor to student success. We invite applicants to showcase their diversity and performance relative to opportunity as part of the application process.
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diabetes foot disease who are most likely to have poorer health outcomes, such as poor quality of life, non-healing ulcers, infections, recurrence, emergency visits, hospitalisations, amputations, morbidity
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. An additional amount of up to $5,000 is available to support project costs, equipment or research-related travel for site visits, data collection, and/or conference attendance. Eligibility To be eligible
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and the state. Our strengths Indigenous research Sustainability Research initiatives Real Focus See the stories behind QUT research. Read in-depth features and commentary about innovations that
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. How to apply For full application and eligibility details, see the Data61 PhD Scholarships website . About the scholarship At CSIRO's Data61, we aim to develop top-quality doctoral students who will
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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