-
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
-
. 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
-
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
-
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
-
multidisciplinary team who are focused on improving outcomes for patients with chronic wounds. The School of Engineering seeks to appoint a PhD student to work on a funded project titled “Reducing the impact of
-
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
-
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
-
The research will focus on developing advanced AI techniques to improve analysis and interpretation of data in simulation-based training scenarios for Defence. The project aims to advance AI methodologies to optimise training effectiveness and system capabilities in simulated environments. The...
-
Available to: Domestic students PhD Eligibility Criteria The PhD candidate will ideally have a health sciences or biomedical background. The candidate will have the opportunity for training and core
-
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...