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Status: Closed Applications open: 30/01/2025 Applications close: 21/02/2025 View printable version [.pdf] About this scholarship Description/Applicant information One PhD student scholarship is
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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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discipline, demonstrated research experience, and strong academic results. For full information on scholarship eligibility, please click here . For general information on applications and commencing a research
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Respect at Melbourne Content warning: This website includes information on sexual harassment and sexual assault and may be distressing for some people. For support, contact the Safer Community
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology