23 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University"-"Prof" PhD positions at Queensland University of Technology
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to conduct innovative research on development of advanced sodium-ion batteries, under the support of a newly granted ARC Discovery Project. Sodium-ion batteries (SIBs) demonstrate a great potential to replace
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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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scholarship A fully funded PhD position (AUD 37K) is available in the QUT's School of Chemistry and Physics in Brisbane, Australia starting in January 2026. The project focuses on the development
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Yan and an expert team to conduct innovative research on development of advanced solid state lithium metal batteries, under the support of a newly granted ARC Discovery Project. Currently, available
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates the contribution your research will make
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considered in the current models. whether there are common points in multiple models. This will identify potentially critical points for new models. identify upstream and downstream points not previously
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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-developed knowledge of Australian media and culture. Demonstrate excellent capacity and potential for research. You must develop a research proposal that responds to and aligns with the scholarship topic and
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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