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Cyanobacterial Synthetic Biology who has: a PhD in Synthetic Biology, Microbiology, Biochemistry, or closely-related discipline expertise in culturing and engineering cyanobacteria, or related microbiological
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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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individuals. iPSC “Village” systems and CRISPR perturbation to experimentally dissect and validate gene function in controlled, scalable cellular models. Advanced computational genomics, machine learning, and
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culture that encourages growth, innovation, and meaningful impact. About you You thrive in collaborative settings and are committed to fostering an inclusive and equitable learning and research environment
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, machine learning, and causal inference frameworks that link genetic variants to cellular mechanisms and therapeutic opportunities. Our research spans immune biology, cardiac disease, neurodegeneration, and
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, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject environments investigate system-level mechanisms, including stability, path dependence, lock
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an environment where individuality is welcomed and celebrated To learn more about the School of Geosciences, click here About you The University of Sydney values courage and creativity; openness and engagement