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Lipid nanoparticles are critical delivery systems for a wide range of biomedical applications. This project will involve studying the structural properties of lipid nanoparticles, modifying particle
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overcoming the limitations of existing nanomaterials—such as poor nanochannel structure, low chemical stability, and high internal resistance—this project introduces an innovative platform for efficient ion
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planes and enable the in-situ growth of active nanoparticles. These lattice planes inherently exhibit distinct properties, including defects, electronic structures, and a tendency to form nanoparticles
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to building structure-activity relationships (SARs) based around targeted modifications of their patented gold-based drug candidate using innovative in vitro protocols to refine lead drug candidate(s). This
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channels coated with layers of endothelial cells to mimic vascular systems. The soft structure of the system allows for stretching of endothelial cells in repeated cycles. The cellular responses under
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at the intersection of causal learning, inference, and deep learning, leveraging Graph Neural Networks (GNNs) and Large Language Models (LLMs). The successful candidate will explore how GNNs can model causal structures
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. 31/12/2028 31/12/2028 1 (one) 1 (one) The PhD candidate should have a strong interest in materials chemistry, good understanding of crystal structure, as well as wet-laboratory skills. Candidates
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the industry partner A structured professional development and training package The CSIRO Industry PhD Program (iPhD) is a research training program, focusing on applied research that benefits industry by
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preferred but not required - candidate can learn on the job; Eager to learn new technologies and try new ideas in a structured way; Willingness to work in the industry in the future as a digital AI
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materials, formulations and procedures to create particles, for outputs aligned with both academic advancement and industry partners. Materials will be evaluated for size, morphology and structure-function