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or autonomous operation. Supervision and Research Environment Lab: Design Health Collab, Faculty of Art, Design & Architecture, Monash University Lab Director: Professor Daphne Flynn PhD Supervisors: Dr Nyein
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of the biggest issues for the maritime and water industries. The PhD project will focus on developing quantitative methods for managing the risks associated with biofouling control techniques for naval fleets. It
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, resulting in faster and more cost-efficient signal modelling. However, embedding physical constraints within the network architecture remains a significant challenge. Current research often integrates
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transport and energy conversion. The incorporation of 2D nanomaterials as sacrificial layers enables precise control over nanochannel architecture, ensuring enhanced selectivity, mechanical robustness, and
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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
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the underlying architectures. However, the high latency introduced by blockchain makes timely machine learning decision-making challenging. Hence, in this research, the students will also conduct thorough research
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of Art, Design and Architecture. They will work with Laureate Professor Pink, up to four Research Associates and three PhD students. FUTURES Hub is a world-class research, communication, meeting and
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Skip to content QUT QUT - the university for the real world Login Contact QUTContact QUT Search Search Menu Study Undergraduate Study areas Architecture and built environment Business Communication
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architecture. Research skills: Literature Review: Ability to analyze and synthesize existing research to identify gaps and formulate research questions. Methodology: Designing and implementing robust research
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tissue, notably collagen, leading to distorted architecture and function of various vital organs, including the heart, kidney, liver and lung. Progressive fibrotic remodelling often leads to organ