10 physics-lab-instructor Postdoctoral positions at University of Sydney in Australia
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Full time, 2-year fixed term position with potential to extend. Located on the Camperdown Campus at the School of Physics. Exciting opportunity to conduct research in a world-leading
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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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. Collaborate with interdisciplinary teams across systems neuroscience and complexity (e.g., Shine lab, University of Sydney) and clinical neuroscience (e.g., Parkinson’s disease research clinic, Macquarie
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physics. We engage with industry, hospitals, international collaborators and universities to forge relationships that help take our projects from lab bench to patient bedside. Here, you will have the
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and mentor junior researchers and students on a day-to-day basis assist in planning and coordinating research activities within the lab ensure compliance with institutional and regulatory guidelines
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will apply and develop expertise in conducting research to further the research agenda of the Lab, School and Faculty. The successful applicant will contribute to research efforts independently asand
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An exciting opportunity to join the Snow Vision Accelerator Location: Loreto Group, Axon degeneration Lab, School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health Full
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Full time fixed term position until August 2027, located on the Camperdown Campus at the School of Physics Opportunity to make valuable contributions to research in single junction and tandem solar
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large