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at our Wellington Greta Point campus. This is an exciting opportunity to contribute to nationally and internationally significant deep-sea research, working alongside leading scientists to better
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Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical
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project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical understanding of how magmatic ore
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supports teaching and research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about
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, chemical engineering, applied mathematics, applied physics or related disciplines Desired: Demonstrated knowledge or experience in one or more of the following areas: fluid mechanics, multiphase flow, porous
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, membranes, flow-field components and sealing systems. Develop, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling equipment, instrumentation and data
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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integration of electrodes, membranes, flow-field components and sealing systems. Develop, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling
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operate experimental test systems, integrating electrochemical devices with fluid-handling equipment, instrumentation and data acquisition. Plan and conduct electrochemical experiments to evaluate
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teaching at the undergraduate and postgraduate levels. The school supports teaching and research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials