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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 candidate will work with a team of other PhD candidates studying at National Drug Research Institute and the Burnet Institute across a diverse range of topics. Candidature would be full time and analyses will
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trait comprised of a set of emotion processing deficits: difficulties identifying one's own feelings, difficulties describing feelings, and an externally oriented thinking style whereby one rarely focuses
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behind the catalytic properties and performance. Aims The successful PhD candidate will tackle key technologies in this project to develop efficient and reliable anodic catalysts for ammonia oxidation
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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as part of a multidisciplinary team to complete tasks within set timeframes and agreed budgets Application process Application packages should include (i) a curriculum vitae, (ii) university
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Status: Closed Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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an ARC Linkage Project collaborating with an industry partner. The purpose of this scholarship is to support TWO future PhD students in conducting research on the “Regeneration of High Value-Added
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an ARC Linkage Project collaborating with an industry partner. The purpose of this scholarship is to support THREE future PhD students in conducting research on the “Thermochemical energy storage and
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research