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the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory and role theory to develop a comprehensive conceptual model for the process by which
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, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially
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Characterization Techniques Study the advanced electrochemical characterization methods. Gain deep insights into the reaction models associated with PCFCs. 3) Understanding of Electrocatalytic Performance and
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geochemical modelling is encouraged but not mandatory Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A cover letter (no more than 2 sides A4
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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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Council) 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
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on animal models of glioblastoma to evaluate the effectiveness of the selected DDS in tumour growth inhibition, survival rate, biocompatibility and brain targeting efficiency. Aims • Develop a novel and
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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