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Found 266 matching student topics

Displaying 37–48 of 266 results

Quality and validation of machine learning methods

Not all machine learning methods are created equal and not all training datasets are of the same standard of quality.In this project we'll look at how machine learning methods can be quality assured and validated with a particular focus on training datasets.

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

Voluntary Assisted Dying

Ben White is interested in supervising PhD students in the area of voluntary assisted dying. Voluntary assisted dying is now legal in Victoria with Western Australia's law due to commence in mid-2021. Other Australian states look set to follow with a Queensland Parliamentary Committee recommending reform and Bills regularly introduced into other state parliaments. These new laws and their implementation provide fertile ground for PhD research. The Australian Centre for Health Law Research is undertaking a program of research looking …

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)

Australian Centre for Health Law Research

Characterising drivers of melanoma cell heterogeneity

Tumour cell heterogeneity is linked to tumour progression through the generation of divergent cellular behaviours such as proliferation, survival, invasion and therapy resistance. Crucially, conventional and targeted therapies generally only target highly proliferative cells in tumours leading to initial tumour regression, however alternative sub-populations underpin the return of treatment refractory disease and facilitate metastatic spread. Our laboratory is focused on understanding the regulatory drivers of cellular plasticity in melanoma to better understand progression and metastatic spread of this disease and …

Study level
Master of Philosophy, Honours
Faculty
1043076
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
1043076
School
School of Biomedical Sciences

Dissecting the molecular and cellular basis of melanoma susceptibility

Several factors strongly influence an individual’s chance of developing melanoma. Paramount amongst these are the number of moles (nevi) present on the skin, cumulative levels of UV exposure and skin pigmentation phenotype. Numerous Genome Wide Association Studies (GWAS) we have identified gene variants at a number of loci that are strongly associated with cutaneous nevi (mole) counts, UV damage response and accordingly susceptibility of individuals to develop melanoma. Currently the functional impact of genetic variants in the genes IRF4, PLA2G6 …

Study level
Master of Philosophy, Honours
Faculty
1043076
School
School of Biomedical Sciences

Sampling to optimise training data

Training data is needed for fitting supervised machine learning models but may not always be plentiful, especially when labelling needs to be performed manually. In such a situation we may wish to target the new sample cases to be labelled to improve model performance for the least additional resource.In this project we’ll look at how active learning techniques - techniques which make use of the model outcomes – can be used to effectively determine a sampling strategy.

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

Assessing the quality of training

Understanding the impact that training data quality has on model generation is important for industry’s looking to engage in responsible data science.In this project we’ll look at the use of instance space analysis for assessing the quality of training data and algorithm performance.

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

Deep Learning for engineering object recognition

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Digital inclusion and participation

Working in partnership with industry, government and community organisations, the Digital Inclusion and Participation research program within QUT's Digital Media Research Centre uses innovative digital ethnographic and co-design methods to understand, intervene, and advocate for digital access and literacy as vital elements of social inclusion.We help equip citizens and consumers with the knowledge and skills to confidently, effectively and ethically navigate the increasingly complex digital media environment; and we deliver actionable new knowledge of the structural conditions and circumstances that …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Targeting a novel adaptive neovascular response of the tumour microenvironment to treat advanced prostate cancer

Prostate cancer (PCa) is a significant healthcare burden in Australia. Androgen signalling inhibition using androgen receptor (AR) antagonists is the principal systemic therapy for advanced PCa. Androgen receptors (AR) are an attractive therapeutic target due to their elevated expression in tumour epithelial cells and the retention of androgen signalling throughout the disease continuum.However, patients eventually develop resistance to treatment, and PCa cells metastasise to distant bone and visceral organs, representing an incurable stage of the disease. Understanding mechanisms that contribute …

Study level
PhD, Master of Philosophy, Honours
Faculty
1043076
School
School of Biomedical Sciences

An airway chip for screening viral infection mediated immune responses

Respiratory infections such as influenza, SARS-COV-2, , and MERS are increasingly prevalent. Complications and related deaths arising from these infections are often the result of a “cytokine storm”, whereby there is an over production of proinflammatory soluble factors by immune cells, which dictates symptoms severity and mortality risk [1]. Recent works showed that immunomodulatory therapy with or without antiviral agents may improve recovery outcome. However, the screening of suitable immune-modulatory and antiviral agents relies heavily on animal models which cannot …

Study level
PhD, Master of Philosophy, Honours
Faculty
1043076
School
School of Biomedical Sciences

Access to screen culture in an algorithmic age

During the course of their PhD, the candidate will drive a research project that investigates how the use of algorithms in search and recommendation systems affect the discoverability of content, including:long tail and back catalogue contenton subscription video-on-demand (SVOD) servicesinternet platforms.The project will explore how digital tools can be developed and used to study the impacts of search and recommendation systems, and examine the regulatory options that might be used to address potential problems in the discoverability of culturally or …

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)
Digital Media Research Centre

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