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across multiple teams. Qualifications: Master’s or bachelor’s degree in business, computer science, computer engineering, system analysis or a related field of study, or equivalent experience Please Note
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working with multiple data sets and distributed computing tools. Experience with agile (data) development and operations (DataOps). Extensive experience of data transformation languages such as SQL and
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Overview: 1 x Full time, ongoing opportunity now exists to join RMIT's School of Computing Technologies - Discipline of Data Science and Artificial Intelligence Remuneration at Academic Level E + 17
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
composition of the nanoparticle. We will be able to develop vaccines that effectively prevent an treat severe diseases for which currently there are no effective vaccines. Methods: Our laboratory uses new and
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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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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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the microbiome, such as the influenza vaccine. Baseline non pathogenic microbiome profile effects will differ between younger adults and the elderly, and females compared to males. Methods: Bioinformatics
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infections in old people Identification of the changes of epigenetic marks that contribute to the decline of immune function will provide new means of disease prevention and treatment. Methods: The laboratory
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quantitative research methods. This project intends to address the under-representation of culturally and linguistically diverse (CALD) patients in the uptake of Australia’s first Virtual Emergency Department
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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage