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PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, or vaccines, microbiology, bioinformatics, biostatistics or a related discipline. References: [1
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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system, or the response to COVID-19 vaccines in different populations, e.g. the pregnant or elderly. The value of the Scholarship is equivalent to an RMIT full Scholarship. This Scholarship will be
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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, ELISPOT, immunohistology, proliferation and functional T cell assays. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, psychology, bioinformatics
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to the decline in immune function and ability to respond to vaccines, infections and cancers in the elderly. The value of the Scholarship is equivalent to an RMIT full Scholarship. This Scholarship will be
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treatment earlier as well, resulting in increased survival. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be available for 3.5 years. The value
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functional immune-cell assays. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in immunology, vaccines, microbiology, bioinformatics, biostatistics, molecular biology or a