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technologies in transient and stable plant systems. Collaborate on research-service projects across academia and industry, ensuring reproducible workflows, scalable methods, and high-quality datasets
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element discovery, engineered plant characterisation, and high-throughput screening of synthetic-biology constructs. Develop, optimise, and implement workflows for single-cell regulatory genomics assays
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, you’ll have the opportunity to lead elements of major longitudinal and qualitative studies, collaborate with clinical and community partners, and contribute to publications and funding applications
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broad guidance of senior academics. They will operate with considerable autonomy—selecting appropriate methods, planning and prioritising tasks, and serving as a subject matter expert who provides
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engineering methods relevant to immune function and therapeutic discovery. Desirable criteria Familiarity with disease-relevant immune models, such as autoimmune T cell activation, chronic inflammation
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asymptotic methods and their applications at the University of Sydney Base Salary, Academic level A $105,117 - $121,054 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics
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. Curiosity and initiative – motivated to learn new methods, improve workflows, and contribute ideas to enhance the lab’s computational capabilities. Commitment to scientific excellence – values rigour
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capacity to co-supervise research students on projects in this area, with assistance and mentoring from senior academic staff familiarity with the theoretical methods of quantum error correction, and the
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or adapt experimental apparatuses for corrosion testing. proficiency in analytical techniques such as SEM/EDS, XRD, FTIR, TGA, and material testing methods including compressive and flexural strength
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discipline. Experience in quantitative analysis of large individual-level datasets, including applied microeconometrics, statistical modelling, or related methods. Experience in survey design, implementation