23 parallel-processing-bioinformatics-"DIFFER" PhD positions at Queensland University of Technology in Australia
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relationships. The candidate will examine the choreographic development process and performance outcomes of the project and assist development of a methodological framework for capturing, assessing and reporting
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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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2025. What happens next? Applicants invited to part two of the application process will be contacted directly to create an updated research proposal to submit. Conditions The conditions for retaining
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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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applicants. What happens next? For questions about potential research projects, contact robotics@qut.edu.au For questions about the application process, contact hdr@qut.edu.au About the scholarship Australia’s
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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