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Found 4 matching student topics

Displaying 1–4 of 4 results

Renewal and differentiation in human neural stem cells and their application to understanding neurological disorders

The effective regeneration of brain tissue requires an understanding of the factors mediating the damage as well as the integration of new/replacement cells to form new functional neural networks. The isolation and expansion of human stem cells and limited neural lineage differentiation have provided the foundation for strategies in the treatment of neurodegenerative disorders. We utilise iPSC-derived NPCs and patient-derived (Alzheimer’s disease; AD) iPSCs and neural lineage differentiation of hMSCs, iPSC NPCs and AD iPSCs in neuronal and glial culture …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Investigating DNA repair mechanisms in aging adult stem cells

When we age the DNA repair systems of our cells become down regulated. This results in reduced DNA repair capacity, enhanced rates of mutation load and may lead to the development of chronic aging-associated diseases including osteoporosis, Alzheimer's and cancer(1). So it is no surprise that genome instability and stem cell exhaustion, which also strongly correlates with the accumulation of DNA damage, are considered hallmarks of aging(2).However, we still lack a clear understanding on how the decrease in DNA repair …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Design, derivation, and implementation of mesh-free finite volume solvers based on 3D unit cell morphology to estimate biomass particle effective parameters

The aim of this PhD project is to use lignocellulosic morphological features extracted from high resolution micro-CT images of biomass particles undergoing a dilute acid pretreatment process to perform computational homogenisation over representative unit cell configurations. Mesh-free finite volume solvers will be developed based on 3D point cloud data sets to estimate virtual biomass particle effective parameters, such as diffusivity, thermal conductivity, and permeability. The simulation results will be analysed to provide a fundamental understanding of the impact that changes …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Design, Simulation and Implementation of a Reliable PV Fault Detection Technique

Faults in any elements such as modules, lines, DC-DC converters and DC-AC inverters of photovoltaic (PV) systems can impact the reliability of the system and exacerbate the efficiency. Some other faults such as ground-fault might lead to significant issues such as the risk of fire. Therefore, it is crucial to investigate and detect the faults in the PV system and prescribe the appropriate actions.The supervisory team is looking for passionate students who are keen to conduct an overarching review and …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)

Centre for Clean Energy Technologies and Practices

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