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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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lead key internationally competitive research from molecules to medicines, from patient to policy across a range of therapeutic areas. The Shine Lab at the University of Sydney invites applications for a
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stakeholders develop a coherent research program in translational metagenomics and an emerging research profile support and supervise junior researchers and clinical trainees contribute to the positive culture
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at the University of Sydney. The group has advanced research on perovskite single-junction and tandem solar cells with breakthroughs in cell efficiencies and durability for various practical applications. You will be
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in biological studies. This project is funded by a grant from the Human
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community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait
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for publication in scientific journals. Present research outcomes at national and international conferences. Collaborate with lab members to contribute to grant proposals and funding applications. Collaboration and
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approach to evaluating and managing multi-stressor impacts within these urbanised estuaries. The successful applicant will build on their expertise in marine seascape ecology, simulation modelling and large