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Field
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household-level impacts. Simulate the effects of policy scenarios (e.g., shifts from standing charges to alternative pricing mechanisms) on different archetypes, analysing implications for energy
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project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes—comprising clinical, environmental, and host-associated microbial communities
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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of mechanical preparation, microscopy and SEM on fossil material. • Knowledge in computed X-ray microtomography with segmentation in Avizo. • Skills in scientific illustration. • Knowledge of a
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Technology) research group. Qualifications Required selection criterias A Master’s degree (or equivalent) in Materials Science, Mechanical Engineering, Civil Engineering, Computer Science, or a related
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on application expertise and interest in cancer biology, molecular biology, proteomic techniques, animal handling. • Exploring molecular mechanisms linking to liver cancer using a combination of biochemical and
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. Minimum Requirements PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or Computer Science with a focus on dynamics and control. Additional Qualifications Considered PhD in
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The Position A Postdoctoral fellow position is available for a highly motivated and independent candidate to join the laboratory of Dr. Sara Mostafavi in the Department of Computational Sciences