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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 10 hours ago
Deadline 10 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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PRIMARY DETAIL Shape the future of autonomous drone systems through cutting-edge research and real-world innovation at Macquarie University! Salary package: $109,272 per annum (Level A.6 - PhD
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their best work. The School of Physics is one of the leading Physics schools in Australia. It offers a world class undergraduate physics degree, as well as a postgraduate PhD research program for over 50
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of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence of these large-scale phenomena and their
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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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to apply your expertise to real-world clinical challenges. To be successful, you will have: Postgraduate qualifications in computer science, data science, or a related discipline (PhD preferred
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time, fixed-term position for 2 years Base salary will range from $114,824 - $136,048 + 17% Superannuation (Academic Level B) Based
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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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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