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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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and multidisciplinary engineering teams to support system integration, ensuring alignment between modelling, experimental validation, and overall system performance. Key Responsibilities: Design and
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Parkinson's disease. Working alongside Professor Nicolas Dzamko and a multidisciplinary team, you will apply technical and operational flow cytometry expertise to a cutting-edge project investigating immune
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earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the fabulous staff benefits on offer when you work at Macquarie University. How to Apply To be
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physiological measurements, and collect samples for functional traits. Apply and develop conceptual frameworks in plant functional ecology, including plant trait economics and resource acquisition strategies
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fixed-term appointment • Location: Macquarie University, Wallumattagal Campus, North Ryde • Faculty: Faculty of Science and Engineering • School: School of Engineering An exciting opportunity exists for a
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are strongly encouraged to apply. About the Role Based in the Faculty of Arts at Macquarie University in Sydney, you will join a vibrant intellectual community with access to the University's research resources
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innovative spectroscopic tools for EV analysis. The position consists of leading the development of new EV engineering platform for a better understanding of the chirality of EV for an enhanced cellular uptake
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to join Macquarie University’s School of Engineering and contribute to the project “Energy on Wheels: A New Approach to the Smart Grid with Electric Vehicles,” a project funded by the Australian Research
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, the Australian Institute of Bioengineering and Nanotechnology. This work, supported by an ARC Discovery Project, integrates protein biochemistry, physiological characterisation, cyanobacterial genetic engineering