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honours degree (GPA over 6) Master in the relevant field with a research component, preferably having a journal publication as the 1st author How to apply Apply for this scholarship at the same time you
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This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational chemistry. Rare
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
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This project is supported by a full scholarship within the context of ARC discovery project DP240101215. Candidates with a background in Chemistry, Chemical Engineering and Materials science are encouraged to apply. Previous research experience involving catalysis, reaction design or liquid...
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below, attaching as a separate document: Essential A PhD in materials science, photovoltaics, photonics or a closely related discipline Expertise in optical modelling using finite element and ray tracing
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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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process. About You Completion or near completion of a PhD in geophysics. Background/skills in finite element numerical modelling, geophysical Inversion theories, optimisation and parallel computing. Skills
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Australia. Knowledge and background in solid mechanics and Finite element analysis will be beneficial to undertake this project. Residual strength degradation and fatigue behaviour of composite laminates
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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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techniques and associated tools (examples include, but are not limited to machine learning, density-functional-theory, materials informatics, finite-element modelling, phase-field modelling), and demonstrated