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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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process design and 3D metal fabrication communities. Open now. Open now. 31 December 2027. 31 December 2027. Contact Associate Professor Ken Chiang (ken.chiang@rmit.edu.au ) for more information. Contact
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Nirantar at shruti.nirantar@rmit.edu.au for further information. Please contact Dr Shruti Nirantar at shruti.nirantar@rmit.edu.au for further information. The project is specifically related to Asian
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contribute to peer-reviewed academic publications. Contact Samantha Grover for more information Samantha.grover@rmit.edu.au Ideal student skillset Completed honours or master’s degree in earth science, applied
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Candidate will use techniques such as germline/tumour sequencing data, plasma analysis and work with patients’ immune cells work to identify key functional targets. They may perform epigenetic techniques, DNA
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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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, mechanisms under complex monotonic and fatigue (cyclic) loading and assessing their effects on the residual strength degradation and consequent fatigue life. Using this information, a parametric study will be
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position. Upload ALL requested documents: only documents uploaded on the platform will be considered. Review all the information and submit the form before the deadline. In parallel, remind your 2 referees