Student Projects

We have a wide range of student projects, and many can be tailored to a student’s project research interests. View a list of projects available to students studying their PhD, Honours or Masters.

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Population Health

Evaluating the present state of genetic research in diverse populations

This project is suitable for PhD students only. Some experience in biostatistics and data analysis is essential, and a background in epidemiology, health economics, and/or public health is highly desirable. It is important to note that this project involves communicating research findings to external stakeholders and people from different cultural backgrounds. Therefore, demonstration of strong […]

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Evaluation of pharmacogenomics variants from genome sequencing data

Honours and/or flexible for clinical students. Despite demonstrated clinical utility and continual decreases in sequencing costs, pharmacogenomics testing in Australia is limited. Although carrier rates vary, it is estimated that up to 99% of individuals tested will carry at least one actionable pharmacogenomics variant. The project will aim to identify pharmacogenomics variants from the next-generation […]

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Balancing the risks and benefits of sun exposure: communicating a complex message

Suitable for Honours, Masters and PhD students. The sun has risks and benefits for health. It causes skin cancer and eye diseases, but also produces vitamin D and has other benefits. Finding the balance is challenging, and it is not the same for all people. This project will work with communications experts and implementation scientists […]

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Understanding variability in management of patients with pancreatic cancer

Suitable for Masters and PhD students. Patients with pancreatic cancer have poor outcomes, and there is evidence that some patients do not receive optimal care. We have established a data linkage platform that will enable students to examine variability in care, factors associated with suboptimal care, and associations between care and survival.

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Using Mendelian Randomisation to investigate the associations between dietary exposures and risk of ovarian and endometrial cancer

Suitable for a Masters (preferably part-time) or Honours student. Some experience in biostatistics and data analysis is essential and a background in epidemiology and/or an interest in cancer are highly desirable. Endometrial cancer and ovarian cancer are the most common gynaecological cancers other than cervical cancer among women in high-income countries. Observational studies have evaluated […]

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Use of complementary and alternative medicine and outcomes after a diagnosis of ovarian cancer

Suitable for a Masters (preferably part-time) or Honours student. Some experience in biostatistics and data analysis is essential and a background in epidemiology and/or an interest in cancer are highly desirable. The use of complementary therapies by cancer patients is common but contentious, particularly during chemotherapy. Survivors often use complementary medicine in the hope it […]

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Use of dietary supplements and outcomes after a diagnosis of ovarian cancer

Suitable for a Masters (preferably part-time) or Honours student. Some experience in biostatistics and data analysis is essential and a background in epidemiology and/or an interest in cancer are highly desirable. The use of dietary supplements by cancer patients is common but contentious, particularly during chemotherapy. Survivors often take supplements in the hope these will […]

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Eye disease genetics

PhD students only. Suited to someone with an undergraduate or Master’s degree in genetic epidemiology, epidemiology, statistics or bioinformatics. Experience in the analysis/ manipulation of large datasets and a good knowledge of computing is desirable. Experience in ophthalmic genetics advantageous but not essential. Nonstatistical applicants must be able to demonstrate some knowledge of statistics. For […]

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Genetics of skin cancer

The post is suited to a Masters or PhD student with experience in genetic epidemiology, epidemiology, statistics or bioinformatics. Experience in the analysis and manipulation of large datasets and a good knowledge of computing is desirable. Experience in cancer genetics and/or molecular biology is advantageous but not essential. Non-statistical applicants must be able to demonstrate […]

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