Cancer Biology Machine Learning Researcher
1 week ago
A prestigious PhD scholarship is available in cancer biology and machine learning. This opportunity is ideal for outstanding applicants who wish to pursue a career in research.
About the Research ProjectThe project aims to bridge spatial and spectral information to comprehend complex materials systems at the molecular level using advanced machine learning techniques. The successful applicant will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models. These models will enable individualised tumour type, associated biomarkers and genomic characteristics to be identified with high precision.
The resulting multipurpose machine learning workflows will facilitate rapid precision diagnoses and effective individualised cancer care plans. Coding and user interface development skills will be acquired during this project.
Main Responsibilities- Collaborate with researchers to develop machine learning models for tumour analysis.
- Design and implement multiple instance learning and weak supervision / spatial transcriptomics models.
- Individualise tumour type, associated biomarkers and genomic characteristics using machine learning algorithms.
- Citizenship of Australia, permanent residency or New Zealand special category visa holders.
- Completion of a Masters by Research or other significant body of research, such as an honours research thesis or lead authorship of a peer-reviewed publication.
- Strong foundation in one or more relevant disciplines including cancer biology, physics, chemistry, engineering, machine learning / data science, coding.
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