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additive manufacturing techniques by incorporating live cells into hierarchical, multi-component structures. While this technology holds immense potential, current methods lack the ability to include
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. The project will use cutting-edge atmospheric plasma pen technology to bio-functionalise hybrid scaffolds with spatial resolution, followed by systematic characterisation of the adhesion and conformation
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micro-structures will be characterized and tested for applications such as in tissues engineering. PhD Scholarship details Funding: $32,192 per annum (2024 rate) indexed annually. For a PhD candidate, the
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candidate will ideally have a science or biomedical background with some experience in molecular biology, genomics, bioinformatics, virology and/or entomology. The candidate will have the opportunity
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investigate principles of multi-sensor vision systems in the context of deep neural networks and sensor fusion. The aim is to utilise machine learning techniques to develop new real-world technology in machine
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This project will apply quantum chemistry and molecular dynamics simulations to the study of Hofmeister and specific ion effects in complex electrolytes, including non-aqueous solvents, deep
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Asthma is common in pregnancy; associated with exacerbations and poor outcomes for the baby. This study will prospectively examine the prevalence and clinical relevance of a range of traits, including lung inflammation, common co-morbidities and behavioural factors in this population. The...