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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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research in cancer systems and developmental biology. They will independently design and execute experiments using advanced techniques such as ATAC-seq, ChIP-seq, RNA-seq, and single-cell or spatial genomics
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of Medical Research. The laboratory specialises in single-cell RNA sequencing, spatial transcriptomics and computational pipelines applied to patient biospecimens to understand the complexity of intestinal
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through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a team environment
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quantitative research through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a
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or a related field (e.g. statistics, risk management, economics, quantitative finance) Proven research experience in aged care, longevity, or health risk Strong skills in data analysis and computational
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analysis, visualization, and statistical analysis. Strong record-keeping skills. Excellent interpersonal and communication skills. Self-motivated with the ability to prioritize tasks and meet research