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outcomes of this research will be well-validated computational analysis methods to predict failure mode, and quantify defect and damage produced in fibre metal laminate composites. The models can be used
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
propagation Interfacing to array microfluidics Image analysis of biosensor response Sensor surface biofunctionalisation Optical communications High-speed signal analysis Modelling of optical propagation in
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These models are technology platforms that facilitate drug discovery and fundamental research. Our research is funded by Australian Research Council. This project aims to develop bio-microfluidic
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engineering background who has an interest in image reconstruction and/or modelling the mechanics of the heart. The project also has a sub aim of protecting the heart from radiation during radiation therapy
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challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired
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unique ovarian cancer animal model and blood samples from multiple human clinical trials. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, oncology
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PhD project to develop theoretical computations and modelling methods to guide and optimise the synthesis conditions and composition of electrocatalysts. PhD project to develop theoretical
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@rmit.edu.au to express interest in the project/scholarship. Electrical network modelling Electricity market modelling Power system economics Tariff design Electrical network modelling Electricity market
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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage
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background and/or previous experience or publications in materials science, chemistry, engineering physics, nanotechnology. Experience or strong interest in modelling, and/or clean energy. Preferable