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more via our website. Your next career opportunity You will lead computational analyses of single-cell and spatial transcriptomics data in abnormal uterine bleeding research. You will collaborate closely
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, and computational methods for analysing complex biological datasets. Experience with single-cell and spatial omics technologies, including transcriptomics, metabolomics, or multi-omics data integration
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scientific publications. Desirable experience with transcriptomic analysis, bioinformatics tools, plant pathology systems, and engagement with industry stakeholders or funding bodies. About UQ As part of
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-parameter flow cytometry, proteomics, bulk and single-cell transcriptomics, and integrated multi-omics analyses to define immune responses to malaria infection and vaccination. Research: Apply advanced
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, high‑throughput functional genomics, transcriptomics and stable isotope‑resolved metabolomics. The successful applicant will work with Distinguished Professor Ian Paulsen, Professor Esteban Marcellin, Dr
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, genomic, transcriptomic and/or other omics-based approaches. Strong experimental and analytical skills, with experience undertaking field-based and/or laboratory-based research and applying appropriate
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this role, you will provide academic leadership in cutting-edge single cell and spatial biology methodologies, including but not limited to multi-omics, spatial transcriptomics, advanced imaging, high