37 web-programmer-developer-university-of-liverpool 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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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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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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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines of the participating university in addition to the CSIRO Industry PhD
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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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biomedical technology, CSIRO and 4 universities to develop pioneering sports data science capability in the ‘green and gold’ lead-up to the Brisbane 2032 Olympic and Paralympic Games. The NGGP grants are aimed
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Zhongzheng Wang as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the Financial Details section. About the scholarship Background Two PhD positions
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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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) 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