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include: Research: Supports the team’s research program to achieve recognition and impact in the field, by designing and developing precision opto-mechanical components and assemblies; developing mechanical
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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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computational fluid-solid mechanics with a focus on coupled poromechanical modelling for coal seam gas (CSG) production, fluid injection, and geomechanical responses such as subsurface compaction and subsidence
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 21 months Base salary will be in the range $114,824.05 - $136,048.72 + 17
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. The project is supported by the Australian Research Council Linkage Project “Chemical and mechanical modification of starch-based packaging materials” in partnership with Intertape Polymer Group, USA. Both
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD