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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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the application of noise over a large number of distributed models. These issues should be overcome by developing robust and feasible mathematical models for differential privacy by investigating the data dynamics
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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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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of
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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
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uses world-class big-data omics analysis of immune cells, including RNAseq, genome-wide epigenetics, multicolour flowcytometry, cell sorting, multiplex cytokine analysis, as well as classical
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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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problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data. ADM+S students will participate in a national ARC Centre-based research and