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social sciences, and must hold a relevant degree with strong skills in programming and machine learning. Please contact Zhuang Li for more information.
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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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information on the research programs, please refer to https://dfco2.org.au/research/ This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions . This scholarship will be
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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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) 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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@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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scholarship is available. One scholarship is available. Eligibility requirements: have a first-class Honours or Master's or equivalent degree in a relevant discipline of engineering/science be an Australian
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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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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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to an RMIT full Scholarship This Scholarship will be available for 3.5 years. Applicants need to have a background in immunology or cancer biology, preferably cancer immunology and most preferably ovarian