95 information-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Sydney
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opportunity Founded in 1930, the Sydney School of Public Health is Australia’s first and leading school in public health, dedicated to addressing the world's most pressing health challenges. Each day, our
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stakeholder engagement. About you a PhD (or nearing completion) in Science, Computer Science, Health Informatics, or a related field a developing research profile, with publications in genetics and/or
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Institute is a centre for innovation in radiation therapy and medical imaging technologies. We create, share and apply scientific knowledge to improve health by building new technology for cancer imaging and
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quantitative survey, including building and managing the survey platform, launching it for a four-week data collection period, and ensuring effective monitoring and data integrity throughout. The position also
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deliver ambitious, high-quality insect science within a two-year term. It is designed to be both research- and training-intensive: the fellow is supported to deepen technical and conceptual expertise, build
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the Neurochemistry of Ageing Base Salary starting at $113,400 + 17% superannuation About the opportunity The School of Medical Sciences is recognised as one of the leading centres for medical science research and
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of the FMH Central Clinical School Base Salary $89,755 + 17% superannuation About the opportunity The University of Sydney’s Brain and Mind Centre is a centre for discovery, innovation and integrative
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the opportunity We are seeking to appoint a Postdoctoral Research Associate in Mathematics and Statistics to work on a project entitled “Data-driven modelling of dynamical systems: A measure transport
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Salary Academic Level B $127,436 - $151,328 + 17% superannuation About the opportunity The School of Life and Environmental Sciences is currently seeking a Postdoctoral Research Fellow in Quantitative
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Islander peoples. This could include describing the epidemiology, incidence, mortality, risk factors and clinical management using linked datasets; and/or leading mixed methods research to inform