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-temperature laboratory experimentation and advanced analytical characterisation (e.g., micro-CT, microscopy, image analysis, structural simulation, fractography, XRD, SEM/EDS). The candidate will work alongside a team of
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with the Burnet Institute, this project will use data from Australia’s largest and longest running prospective study of people who inject drugs to determine the impact of these changes on treatment
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. Depending on your interests, research projects can range from developing new ways to ‘see’ atoms to understanding technologically-important materials. They can involve theory or experiment or a mix of both
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(pro-rata), to support your living costs (2025 rate) a fee-relief scholarship for up to four years opportunities to work with La Trobe’s outstanding researchers, and have access to our suite
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that mitigate issues such as local minima in minimizing highly non-convex objective functions. By addressing these critical questions, we aim to enhance the interpretability and robustness of deep learning
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pipe loop rig To develop and validate pipe flow theory for prediction of the laminar-turbulent transition and friction loss for straight pipe sections and conventional pipe fittings Location: Melbourne
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conducted. Second, the project will use a task analysis methodology (Sharbanee et al., 2019; Greenberg, 2007) to create a sequential model of the process that couples go through to resolve imbalances in
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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 As part of
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to estimate their age, but if resorption occurs, it would lead to underestimation and inadequate conservation efforts. Additionally, investigating the role of mononuclear clastic cells in resorption during
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surveillance activities and minimise the global burden of acute respiratory infection. This PhD project will use data from FluTracking to evaluate ILI duration among different populations groups, factors