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analysis. Adhere to UQ’s Code of Conduct, OH&S and safe handling requirements. About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us
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immunohistochemistry/microscopy experience (e.g. 3D immunostaining/clearing, 3D confocal/2-photon/light sheet microscopy) multi-omics (RNAseq, proteomics, metabolomics, coding) biomaterials and tissue engineering
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Fellow, you will: Conduct qualitative and quantitative data analysis, including qualitative coding, mixed-methods analysis, and/or network mapping as appropriate. Manage and ensure the ethical handling and
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the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on
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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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with Dr Yuchen Feng to investigate the molecular mechanisms underlying cancer pathogenesis, with an emphasis on non-coding RNAs, metabolic vulnerabilities, and mutation-defined therapeutic targets
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representatives. Analyse and code empirical data using project-specific frameworks. Contribute to research publications and dissemination in high-impact outlets. Support knowledge translation and engagement with
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results. High levels of personal integrity, transparency and capability. Experience in crop model coding is desirable. Experience in statistical analysis and data visualisation (e.g. R, Python) is desirable
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of academics (as per the norms of the discipline). Present results of research at conferences and other venues. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all
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with and actively demonstrate the Code of Conduct and Values Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions