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science, engineering, data science or related discipline. Demonstrate experience analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high
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analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high-dimensional statistical modelling with tools such as Seurat, Scanpy
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keep projects on track across multiple collaborators and institutions. Collaborate positively in multidisciplinary teams and engage constructively with industry, professional and community stakeholders
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biophysical ecology research aligned with the ARC project on climate responses of pests. Develop, refine and apply quantitative models of organisms and environments using advanced computational and mathematical
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aligned with career stage and opportunities. Demonstrate skill in preparing research reports, manuscripts and, ideally, competitive funding applications. Collaborate effectively within diverse research