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) 2 (two) Standard RMIT PhD enrolment requirements apply. Candidates should have an undergarduate degree in a relevant field of science or engineering. Standard RMIT PhD enrolment requirements apply
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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. This scholarship will be governed by RMIT University's Research Scholarship
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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Scholarship will fund a 3-year PhD candidature to work in the Cancer, Ageing & Vaccine Laboratory (SHBS). Project is a collaboration with WEHI and Hudson Institute to improve cancer diagnosis
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with a systems biology approach in which we will investigate whether the immunological changes in young and elderly are characterized with changes in the gut microbial composition. Currently big data
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functional immune-cell assays. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in immunology, vaccines, microbiology, bioinformatics, biostatistics, molecular biology or a
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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including