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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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interesting implications for standard models of hierarchical black hole growth. Aims This project aims to explore the optical/IR properties of the most extreme IFRSs, and confirm their redshift range
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) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students in
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courses Any HDR student willing to use mathematical modelling and simulation in engineering and physical problems. Eligibility criteria Strong mathematical background Strong analytic abilities Experience in
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tools to record and derive important contextual information. The student will also learn relevant statistical techniques such as Linear Mixed Modelling to compare between drills and competition
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for groups, where traditional service delivery models may fail to address unique cultural and contextual needs. Research has shown that peer-based and community-controlled services significantly improve health