QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

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Found 178 matching student topics

Displaying 73–84 of 178 results

Understanding the role of the hSSB1 protein in the response to UV induced DNA damage

Melanoma is the 4th most common cancer in Australia. The link between skin cancer and UV exposure is now well established. If a DNA damage induced by UV exposure is left unrepaired, the mutation generated in the genome can lead to cell death or cancer. It is thus highly important to understand of how a cell can repair DNA damage. The main pathway to repair UV DNA damaged is the nucleotide excision repair pathway (NER) (Kamileri I. et al, Trends …

Study level
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

Understanding the genetics of melanoma susceptibility: many roads lead to DNA repair

Repair of the damage caused by mutagens such as UV and reactive oxygen species is vital to prevent cancer and premature aging and accordingly cells have developed a suite of intricate and specific DNA repair pathways. Loss or abnormal function of components of these pathways lead to cancer pre-disposition syndromes for example breast cancer in individuals carrying mutations in the BRCA1 or BRCA2 genes. Understanding the complexities of these DNA repair pathways is vital to efforts aimed at preventing or …

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

Curtailing corporate tax aggression through uncertain tax benefits

Over the last five years Australia has adopted numerous measures to address aggressive corporate tax practices. A recent addition to these measures (on the 1st of January 2019) is AASB Interpretation 23 - Uncertainty over Income Tax Treatments, which was developed to clarify the treatment of uncertain tax positions. This interpretation requires entities who produce general purpose financial reports (GPFRs) to disclose uncertain tax benefits (UTB) in the notes to their financial statements. Extant literature suggests that UTB disclosures are …

Study level
Honours
Faculty
Faculty of Business and Law
School
School of Accountancy

Robotic maintenance of equipment

Think about the problem of maintaining equipment at remote work sites.  How can robotic technology help human maintenance staff to work more safely and productively?

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Parameter identifiability for stochastic processes in biological systems

Stochastic models are used in biology to account for inherent randomness in many cellular processes, for example gene regulatory networks. Noise is often thought to obscure information, however, there is an increasing understanding that some randomness contains vitally important information about underlying biological processes.When applying these models to interpret and learn from data, unknown parameters in the model need to be estimated. However, not all data will contribute to a given estimation task regardless of the data quantity and quality. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Making the most of many models

In the age of Big Data, machine learning methods, and modern statistics the adage "all models are wrong but some are useful" has never been so true. This project will investigate data science approaches where more than one model makes sense for the data. Is it better to choose a single model or is there something to be gained from multiple models?This project will look at variable selection methods, penalised regression, Bayesian model averaging and conformal prediction. The research has …

Study level
Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Development of a Microfluidic Gut-Brain Axis Chip

The gut microbiome refers to the collection of micro-organisms that are living symbiotically in the human or animal gastrointestinal tract (defined as the “microbiota”), their genetic material as well as the surrounding environmental habitat. It is now appreciated that the microbiome plays an important role in human health and diseases. Many neurodegenerative diseases, such as Parkinson's Disease have been linked to dysregulation of the gut microbiota. However, it is difficult to study gut-brain axis using animal models due to inter-species …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Microbiome Research

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species including penguins, seabirds, invertebrates, mosses, and marine species interact in food webs which can be modelled as mathematical networks. These networks can be large, span across terrestrial and marine systems, and are changing in response to environmental changes.These ecological networks can be modelled using differential equation predator prey models like Lotka-Volterra to describe these interactions. However, the relationships between species are not always known, or …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Efficient Parameter Estimation for Stochastic Simulations

Stochastic simulation-based models are routinely used in many areas of science to describe inherent randomness in many real-world systems. Applications include the study of particle physics, imaging if black holes, biochemical processes, the migration of animals, and the spread of infectious diseases. To apply these models to interpret data requires statistical methods to estimate model parameters.Unfortunately, standard statistical techniques are not capable of analysing data using these models. This is largely due to the model likelihood, the probability of the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Aboriginal and Torres Strait Islander food and nutrition projects

Aboriginal and Torres Strait Islander peoples suffer disproportionally from diet-related conditions in Australia. Much current research is deficit based, however this body of work aims to be strengths based. Research projects could include, but are not limited to:a descriptive/explorative of food literacy among Aboriginal and Torres Strait Islander people using an assets based framework exploring positive deviants.a food sovereignty project to describe Aboriginal and Torres Strait Islander foodways. This could be applied to a particular nation group. It could be …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Exercise and Nutrition Sciences

Wearable neuro-imaging and spatial experience

Our built environment changes our brain function. There is considerable interest from many research fields upon the positive and negative health and wellbeing effects of our environments. This research area explores how architectural environments and spaces impact experience and mood using wearable brain-imaging technology.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

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