12 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" PhD positions at University of Adelaide
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applications in timing and biology, quantum circuits and quantum computing. Projects will be available at the University of Adelaide, RMIT and the University of Queensland. Eligibility: Applicants must be
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or Koval to two-phase multicomponent flows. This performance would provide the segregated flow model for the system CO2-brine. The approach will lead to upscaled model for two-phase multicomponent flows
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Electronics: Creating next-generation microwave electronics that balance size, power, and performance for handheld platforms. Signal Processing for Embedded Systems: Designing and optimizing algorithms
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qualitative and/or quantitative data analysis. Exposure to policy and program development in an Aboriginal community-controlled organisation. Contribution to real-world projects with measurable community impact
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systems can bridge this gap through improved aerodynamic performance and fuel efficiency, combining the benefits of electric and hybrid technologies. To achieve this, this project will focus on aircraft
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cracking at high temperature, co-producing black carbons for carbon storage or other uses. Utilising renewable thermal energy to drive the pyrolysis process can further reduce the carbon intensity
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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production. With our flagship devices NanoGo and NanoGo Neo, we are reshaping how scientists and biotech innovators access advanced nanoparticle synthesis, bringing high quality, reproducible nanomedicine
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the Research Internship Agreement. Candidate Profile This internship is suited to HDR candidates in medicine, psychology, allied health, or clinical informatics with strong quantitative skills and an interest in
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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by