29 software-verification-computer-science Postdoctoral positions at University of Sydney
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Full time, fixed term opportunity for three years Located at the School of Chemistry, Camperdown Campus Sydney Base Salary Level A, $113,400 - $121,054 p.a. + 17% superannuation About the
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seven schools, spanning engineering, computer science and project management, see the University of Sydney consistently rank amongst the best engineering universities in Australia and the
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Frontier for Science Program, and will involve collaboration with researchers from different disciplines across four countries. Your key responsibilities will be to: undertake research in metallomics and
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Full time, 15 months fixed term with potential to extend. Located on the Camperdown Campus at the School of Chemistry An exciting opportunity to characterize and manipulate a novel enzyme system
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Full time fixed term position until July 2026, located on the Darlington Campus at the Faculty of Engineering Opportunity to contribute to an industrial project on PFAS-free low-adhesion coatings
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Instrumentation Laboratory’s multi-disciplinary team developing cutting-edge photonics-based technologies addressing challenges across astronomy, optical science, and various industry/government sectors. Your key
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ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water
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physics, chemistry, photovoltaics, materials science or related science or engineering subjects experience with 3D, 2D, lead free, and inorganic perovskites; perovskite-based tandems, large area solar cells
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Full-time, fixed term opportunity for two years Position description: Postdoctoral Research Associate in Neuroimaging Neuroscience Location: O’Callaghan group, School of Medical Sciences, Faculty
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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time