Graduate Research School Available Projects Systems immunology and multi-omics approaches to understand protective immunity to human malaria
Systems immunology and multi-omics approaches to understand protective immunity to human malaria
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Title of Project
Systems immunology and multi-omics approaches to understand protective immunity to human malaria
Advisor/s
Professor Denise Doolan
College or Research Centre
Australian Institute of Tropical Health and Medicine
Summary of Project
We invite applications for a PhD position focused on identifying human host factors that predict immune control of malaria. The project will utilise systems-based immunology and multi-omics approaches to profile the host immune response in controlled infection models of malaria at molecular, cellular, transcriptome and proteome-wide scale. The overall aim will be to develop and apply computational/biostatistical approaches, including network theory and machine learning, which integrate genomics, proteomics, transcriptomics and molecular immunology to improve our understanding of the host-parasite relationship and predict immune responsiveness and parasite control. Molecular signatures of immunity to malaria will inform the develop¬ment of vaccines, immunotherapies or diagnostic biomarkers. This project will provide an opportunity to be involved in cutting-edge advances integrating diverse fields of high dimensional -omic datasets. It will complement ongoing systems-based and therapeutic development efforts at AITHM directed at malaria and other tropical pathogens. The successful candidate will learn from, and be supported by, a team of researchers in bioinformatics, immunology, molecular sciences and biostatis¬tics. This project is supported by a AITHM funded Stipend Scholarship: $28,000 per annum for three years (full-time study). Further information about this scholarship can be found at https://www.aithm.jcu.edu.au/phd-stipend-scholarship/
Key Words
Malaria; bioinformatics; immunology; vaccine; multi-omics; host-pathogen interaction; R; statistics; sequencing technology
Would suit an applicant who
PhD candidate interested in combining immunology and bioinformatics for advancing malaria therapeutic development.
Updated: 11 Apr 2020