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Seasonal analysis in R

Many health conditions are seasonal and understanding the seasonal patterns can help better understand the causes of disease. This project will examine an existing and popular set of R programs used to statistically model seasonal patterns, and examine where the code could be improved. The outcome will be a new and improved version of the software, with the student as a co-author.

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Public Health and Social Work
Research centre(s)
Centre for Data Science

Understanding the external surface of fungal mycelia

The way in which fungal cultures grow in liquid cultures are can have a major impact on scale up and producing material. Here, we will examine the growth of three fast-growing filamentous fungi and try understand how various growth parameters affect the morphology that will range from loose mycelia to compact pellets.Fungal morphology is affected by inoculum (form, concentration and growth stage), media components (type and concentration of carbon, nitrogen and phosphate, trace minerals, pH, salt content), dissolved gases (dissolved …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Bushfire design of residential buildings

This project aims to investigate the bushfire performance of residential buildings in the bushfire prone areas of Australia. This includes a detailed review of:bushfire characteristicsradiant and convective heat ratestype of materials used to construct bushfire safe housesstructural and fire performance of external wall and roof panelsstructural design requirementstesting procedures.This comprehensive review will contribute towards developing conceptual models and design methods of external wall and roof systems for residential buildings in bushfire zones.

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

Developing predictive models, methods and analytics for complex sports data

A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.

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

Evidence review of the clinical consequences of low density malaria infections

The objective of the project is to extensively review published literature to compile evidence related to the clinical consequences of asymptomatic (low density) malaria infections.This project is based at our Kelvin Grove campus.

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Public Health and Social Work
Research centre(s)

Centre for Immunology and Infection Control

Rhythm & Movement for Self-Regulation in early childhood: digital design and research translation

Rhythm & Movement for Self-Regulation (RAMSR) is a program developed by registered music therapists, and early childhood specialists, that teachers all adults working with young children to engage in rhythmic movement activities known to build brain architecture that supports self-regulation. Essentially, RAMSR seeks to bring the brain-building benefits associated with learning music to the masses in early childhood.In 2016 and 2020, RAMSR studies showed the program was indeed effective in stimulating growth in attentional, emotional, and behavioural regulation for young …

Study level
Vacation research experience scheme
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Early Childhood and Inclusive Education

Did COVID change our energy use patterns?

COVID has changed how many people's lives in profound ways. One aspect is how we work, study and use energy.This research project aims to answer two questions:Did energy use change for CBD, urban, suburbs and rural areas when we were experiencing lockdowns?If there were changes, how much has been changed and when the change happened, e.g time of a day, or day of a week?

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

Contributions and risks of smart urban technology-driven approaches to sustainable development

The prospects of smart urban technologies range from expanding infrastructure capacity to generating new services, from reducing emissions to engaging the public, from minimising human errors to improved decision-making, and from supporting sustainable development to improving performances of commercial enterprises and cities. The most popular technologies in the context of cities include, but are not limited to, internet-of-things (IoT), autonomous vehicles (AV), Mobility-as-a-Service (MaaS), bigdata, 5G/6G, robotics, blockchain, cloud computing, 3D printing, augmented and virtual reality (AR/VR), digital twins and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Modeling Australian rainfall extremes using extreme value methods

To mitigate the risk posed by extreme rainfall events, we require statistical models that allow us to extrapolate outside the range of our observed data into the tail of our distribution and to estimate the probability of record events we are yet to observe.For this type of statistical analysis, we typically use methods from extreme value theory. The challenge for modelling rainfall extremes using many of these extreme value methods is that there exists a gap between theory and practice. …

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

When does computer vision fail?

Computer vision models predict where objects are in an image, and what those objects are. These vision models give robots the ability to perceive their environment and choose safe and smart actions based on this perception.Computer vision models can fail silently when exposed to unexpected or difficult environments - e.g. changes in camera viewpoints, changes in lighting, or when seeing new objects that haven't been seen before. This raises concerns about the safety of using vision models in the real …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Powerful enzymes to break stuff and make stuff

We need new ways to re-use and recycle complex polymers like plastics and biomass. With biological approaches we could potentially break polymers down into their monomeric components and convert these into new and different materials.This project focuses on improving our understanding of laccases - a powerful class of enzymes that can both break down and rebuild lignin (and potentially some plastics).There is a big functional divergence between bacterial and fungal laccases. Fungal laccases have very high redox potentials and can …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Atmospheric cooling and shading for the Great Barrier Reef

This research sits within the Cooling and Shading Subprogram of the Reef Restoration and Adaptation Program (RRAP).RRAP is an ambitious and innovative R&D effort that places Australia as the leader of coral reef adaptation and restoration science. It is a consortium of Partners, including QUT, dedicated to creating an innovative toolkit of interventions to help the Reef resist, adapt to, and recover from the impacts of climate change. These partners include the Australian Institute of Marine Science, CSIRO, the Great …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

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