26 computational-biology-physics-training PhD positions at Queensland University of Technology
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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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-time and/or external study is obtained) by 1 July, 2025. Have a background in ecology, conservation biology, or a related discipline. Preference will be given to Aboriginal or Torres Strait Islander
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for part-time and/or external study is obtained) start your degree by 1 March 2026 have a background in physics materials science nanotechnology electronic engineering. You should also have a clear
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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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English language requirements enrol as a full time, internal student (unless approval for part-time and/or external study is obtained) a master’s or honours degree in Materials Engineering, Physics, or a related
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, chemotherapy, viral infections and diabetes mellitus. Looking at clinical studies, the current research process is to propose a model, conduct animal tests and then evaluate whether the original model is
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to develop this prototype into an ambulance-ready device, ready for deployment in large-scale clinical trials. This work has been supported by The Prince Charles Hospital Foundation and aims to create real
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are available to support: postgraduate students wanting to complete part of their Australian program in the US students seeking to complete a full US masters PhD students wanting to complete research in the US as
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of the research program resulted in QUT receiving a substantial bequest from a donor impressed by his work: the Florence Wilson Bequest. In 2015, Clayton was diagnosed with a terminal illness yet continued his
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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