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% superannuation About the opportunity This role contributes to cutting-edge research in immunology, microbiome and nutritional analysis, and bioinformatics. It sits within a multidisciplinary team at the Nepean
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, including research design, ethics approval, data collection, analysis, reporting, write academic papers, industry reports, research communication articles, develop and deliver research outputs and tools
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(including retinal and neuronal cells), molecular assays such as PCR and Western blotting, and quantitative data analysis. Expertise in human and mouse retinal tissue dissection, handling, and molecular
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relevant fields demonstrate expertise and experience in undertaking health services research proven experience in data analysis, data interpretation, and protocol writing have expertise in the design and
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at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis of algorithms compile data sets relevant to research in
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to the development of Easy Read documents including Lived Experience Advisory Group meeting papers support the implementation of a data linkage study and analysis of clinical trial results contribute to research
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, and analysis of clinical trials and observational studies. Collaborate with multidisciplinary teams including pharmacists, anaesthetists, surgeons, and data scientists Prepare manuscripts for peer
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complete Data management for the project including data collection, cleaning, coding, analysis and interpretation of primary/secondary datasets using statistical software packages collaborate and build a
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, carers, and international collaborators develop the mental health policy research stream through qualitative and quantitative data analysis build and maintain strong stakeholder relationships with domestic
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working with primary neurons and other primary cells. Expertise in autophagy and mitophagy assays. Experience working with iPSC-derived neuronal cultures. Experience with pathway analysis. Excellent