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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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postdoctoral researchers and 12 Ph.D. students) with diverse research interests in energy storage technologies. The group already has strong industrial linkages and international partnerships that will allow
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through objective assessment of disease activity and selection of the most optimal medical therapy. Predictors of response to the current arsenal of treatment are paramount to achieve endoscopic and
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to understand the roles of the geometrical properties and the surface chemistry on CO2 adsorption in the developed porous carbons, to facilitate the optimized adsorbents development. Student type Future Students
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encompassing postdoctoral researchers, PhD and Honours students, and collaborate with national and international researchers in academia and industry. Eligibility: Must be an Australian/New Zealand Citizen
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materials. Develop and optimize materials for efficient hydrogen liquefaction. Analyze data and contribute to the publication of research findings. Collaborate with a team of researchers and engineers. Join
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Efficient Data-Driven Optimization in Cooperative Control Systems with Constraints 2 Minute read This is one of two research projects studying unmanned aerial and surface vehicles (UAVs and USVs
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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-users interact with infrastructure and the built environment, improve diagnosis of risks and reduce the time required for maintenance, optimize the infrastructure performance, support information-driven
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determine optimal operating conditions through iterative testing and experimentation. Through this Project, Tronox aims to demonstrate its commitment to sustainable development, resource efficiency, support