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for understanding questions in geometry and physics. This scholarship is part of an Australian Research Council Discovery Project that aims to develop techniques for the design and analysis of highly nonlinear
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only if sociotechnical systems are appropriately designed. “Command and Control” (C2) is the process taken by organisations and teams to achieve shared goals, and the C2 system is the underpinning
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This project will advance automated technologies for machine vision sensing of plant health in Controlled Environment Agriculture (CEA), for example in vertical farming systems. CEA is projected
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to integrate floating offshore wind turbines and wave energy converters to capture wind and wave energy. The hybrid system’s dynamic responses will be investigated and advanced vibration control technologies
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also involves bids for dominance, as the couple negotiate who is going to take leading and following roles in setting their agendas. If there are chronic imbalances in dominance and submission within a
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Status: Open Applications open: 30/10/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Applications are open for the 2024 HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin...
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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at the University of Western Australia. This research focuses on understanding the impact of large motions of wave energy converters on hydrodynamic loads and developing nonlinear hydrodynamic models. The successful
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Opportunities for Aboriginal and Torres Strait Islander Students Are you an Aboriginal and/or Torres Strait Islander student passionate about health equity, tobacco control, and making a real-world impact in your
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic