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Found 77 matching student topics

Displaying 1–12 of 77 results

Climate cooling or warming - study into Australian cities' long term temperature records

40% of global CO2 emission is related to buildings. Temperature is often a highly correlated factor for commercial/educational/healthcare building energy use and electricity peak demand.To forecast how temperature may change in the case of "business as usual" for the coming decades, we can study major Australian cities' long term temperature records.The two research questions for this project are:how did temperature change for Australian cities over the past 30 or more years?, e.g. for all capital cities and major regional centres.if …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Food literacy projects (see description for options)

Food Literacy is a collection of knowledge, skills and behaviours required to plan, manage, select, prepare and eat foods to meet needs and determine food intake. It is the scaffolding that empowers individuals, households, communities or nations to protect diet quality through change and strengthen dietary resilience over time. Areas for further research include, but are not limited to:identifying models to integrated food literacy into dietetic practice e.g. through the Nutrition Care Processdevelop population level indicators for food literacy that …

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

Novel therapeutic strategies to treat advanced colorectal cancer

Colorectal cancer is a very common disease, with over 15,000 new cases diagnosed in Australia annually. Metastatic colorectal cancer describes advanced disease that has spread beyond the primary site. This is very aggressive and incurable in the vast majority of these patients. To improve outcomes for colorectal cancer, we are using cutting edge genomic and cell biology techniques to understand disease heterogeneity and optimise drug response. We are developing novel therapeutic interventions based on unique molecular signatures and are testing …

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

In-silico clinical trials to assess implant performance after shoulder joint replacement

The challenge of conducting a clinical trial to test the performance of joint replacement prosthetics in-vivo results in an expensive and risky lead time for the development of new implant designs. Computational methods have the potential to significantly improve the workflow of implant design via in-silico clinical trials.Anatomical variation in bone morphology across populations also presents a challenge, and new prosthetics will need to be offered in a variety of shapes and sizes to maximise their suitability for a diverse …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

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

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Optimal ecosystem management in rapidly changing systems

Delays in acting in collapsing ecosystems can be catastrophic. With every passing year, the chances that the ecosystem has progressed past some point of no return increases. Yet the research and development needed to develop a new technology can take a long time. Balance between these two dynamic processes is needed to determine the optimal length and effort for developing new technologies. This project will develop a method for finding the optimal schedule for developing technological readiness, social acceptability, a …

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

Mathematically optimising value of information for biodiversity management

When planning environmental management, data are only valuable if they lead to improved outcomes. As new monitoring technologies and approaches are developed, it is critical that they are used optimally to focus on the most important information gaps.Monitoring technologies should only be adopted if they can deliver improved management utility, and new data should be rapidly gathered in locations where early information could offer warning signals of future ecosystem change. Mathematical and statistical approaches to assessing the value of new …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Optimal conservation management in uncertain Antarctic environments

Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …

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

Modelling and simulation of Li Ion Capacitors

Climate driven global efforts has led to the exponential growth of renewable technologies which has spurred further research into energy storage technologies such as batteries, supercapacitors, and fuel cells alike. Of particular interest are hybrid technologies such as Lithium-ion capacitors (LiCs) which bridge the technological gaps between batteries and supercapacitors, paving the way to a best of both world solution. Within LiC research, predictive physics models based on constituent material properties are lacking.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Optimising delivery of a novel nose-to-brain treatment for brain cancer

Glioblastoma multiforme (GBM) is an aggressive brain cancer with no curative treatment and poor prognosis. One of the biggest challenges with treating GBM is the inability of treatment to cross the blood-brain barrier resulting in poor drug distribution in the brain. Fortunately, scientists have recently developed a novel nose-to-brain delivery system that uses nanoparticles loaded with a chemotherapy drug called paclitaxel. Initial treatment investigations in vivo are showing significant promise in reducing and controlling the tumour burden. While exciting, before …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Calendering lithium-ion battery electrodes: just roll with it

Calendering is the process of compressing and smoothing out a material by passing it between two rollers. This is a critical step of manufacturing thin films for energy storage and other applications, but one that can often be overlooked at a research level.This project will investigate the effect of calandering on electrode materials for lithium-ion batteries. The aim is to find the optimum amount calendaring for maximum film quality and performance.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science
Centre for Clean Energy Technologies and Practices

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