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working at QUT. Campuses and venues Gardens Point campus Maps and getting here Around campus Libraries and learning spaces Gym and sports facilities Food and retail Kelvin Grove campus Maps and getting here
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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expensive lithium-ion batteries for energy storage as sodium is low-cost, safe and abundant as compared to lithium. However, the larger radius of sodium ions often leads to a sluggish kinetics process, and
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recovery rate in the LIB recycling process and reduce waste and carbon footprint in the battery value chain. By returning waste to battery manufacturing, the project will make the battery value chain more
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environment with members of the School of Mechanical, Medical and Process Engineering at QUT as well as being supported by the academics and expert industries within the ARC Training Centre.
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understanding of photocrosslinkable materials. Familiarity with patent research and literature review processes. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of
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research project. Eligibility How to apply Please contact GoStralia! to discuss the application process.
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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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of magnetocaloric materials for hydrogen liquefaction. This cutting-edge research aims to enhance the efficiency of hydrogen liquefaction processes, a crucial step in the future of clean energy. This opportunity is
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. For more information about the application process, email About the scholarship As the successful applicant you will complete your PhD in the field of organic photochemistry for advanced reprogrammable