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Student research projects

We offer diverse opportunities for students to join our research teams. Our student projects enable students to develop a range of skills in medical research, through tackling important research questions with the support of experienced mentors.
Showing 1 – 6 of 8 Projects  
Enhancing spatial-omics with machine learning: Integrating histology and transcriptomics for robust cell-type annotation
  • Student Research
Project Type:
Masters by Coursework/PhD
Supervisors(s):
Dr Yunshun Chen
Diseases:
Cancer, Breast cancer, Myeloma
Area:
Cancer biology, Personalised medicine
Technology:
Bioinformatics, Artificial intelligence and machine learning, Computational biology
More information
Non-negative matrix factorization in cancer omics
  • Student Research
Project Type:
Honours/Masters by Coursework/PhD
Supervisors(s):
Prof Tony Papenfuss
Diseases:
Cancer, Brain cancer
Area:
Cancer biology
Technology:
Computational biology, Artificial intelligence and machine learning, Bioinformatics
More information
Methods for Multiomics Integration
  • Student Research
Project Type:
PhD
Supervisors(s):
Prof Tony Papenfuss
Diseases:
Cancer, Brain cancer
Area:
Cancer biology
Technology:
Computational biology, Artificial intelligence and machine learning, Bioinformatics
More information
From Images to Insights: Bioimage Analysis with AI and Big Data
  • Student Research
Project Type:
Honours/Masters by Coursework/PhD
Supervisors(s):
Prof Kelly Rogers OAM, Dr Niall Geoghegan, Dr Pradeep Rajasekhar, Dr Lachlan Whitehead
Diseases:
Cancer, Neurodegenerative disorders, Malaria
Area:
Cancer biology, Cell death, Infection
Technology:
Artificial intelligence and machine learning, Imaging, Computational biology
More information
Building a bioinformatic toolkit for antibody drug discovery
  • Student Research
Project Type:
PhD
Supervisors(s):
Prof Matthew Ritchie, A/Prof Jenny Vo
Area:
Immunology, Cancer biology, Immunotherapy
Technology:
Antibody technologies, Artificial intelligence and machine learning, Bioinformatics
More information
Bioinformatics strategies for optimal interpretation of spatial-omics data in cancer
  • Student Research
Project Type:
Masters by Coursework/PhD
Supervisors(s):
Dr Yunshun Chen, Prof Jane Visvader
Diseases:
Cancer, Breast cancer
Area:
Cancer biology
Technology:
Bioinformatics, Computational biology, Artificial intelligence and machine learning
More information
Showing 1 – 6 of 8 Projects

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