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These supplementary scholarships (top-ups) are funded by the Australian Research Council to support 2 full-time PhD students who wish to undertake research in the field of battery recycling: Project 5.2: Deep Eutectic Solvents (DES) are increasingly being studied for their potential role 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
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the pH range of 2.5 to 4.5. Advanced analytical training will be provided in techniques such as X-ray Diffraction (XRD), synchrotron-based spectroscopy and scanning electron microscopy (SEM). This PhD
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machine learning frameworks like PyTorch. The candidate should demonstrate strong analytical abilities, an eagerness to learn and solve complex problems, and possess effective collaboration skills
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. The project will combine field measurements and laboratory analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron
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1/10/2025 with the name of scholarship in the subject heading. Applications will be assessed as and when received and the PhD position may be filled ahead of this date if the suitable candidate is
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, this role will apply their expertise in stem cells, epigenetics, development, and cell biology to lead and contribute to cutting-edge research in cancer development and treatment. To be successful you will
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. Fixed term, full time position available for 2 years with a possibility of extension. About the project: We are seeking a highly motivated Structural Biologist to lead projects aiming to understand
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one of Australia's largest concentrations of leading health researchers, teachers and clinical titleholders. It's comprised of eight schools and a number of specialist disciplines, institutes and
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recovery in the MLR. The Mount Lofty Ranges (MLR) in South Australia represent one of Australia's most heavily cleared and fragmented woodland ecosystems, with less than 10% of the original vegetation