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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Alcohol use is a
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ADMISSION to HDR Those who apply for the scholarship opportunity that have not already applied for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging...
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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pa Fixed term Ref: 095093 You will join the group of Professor Alessandro Troisi based in the Materials Innovation Factory (https://www.liverpool.ac.uk/materials-innovation-factory/ ) to work on a
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equivalent years of your masters studies. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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an ARC DECRA project in conjunction with support from Curtin University. The purpose of this scholarship is to support a PhD student in researching proton batteries. Proton battery is a low-cost and safe
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tumour recurs. Immunotherapeutic methods have been successful in treating several solid tumours but have limited efficiency against GBM. The Sonic Hedgehog (HH) pathway plays a crucial role in embryonic
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/or relevant work experience Curriculum Vitae Academic transcript Preferable background and/or previous experience or publications in materials science, chemistry, engineering physics, nanotechnology
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dynamical point processes, and their practical use in ecology. The project is expected to contribute to the ecological modelling theory, and make the field more accessible to ecological modelling