17 computational-physics-superconductor Postdoctoral research jobs at University of Sydney in Australia
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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
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Full time, fixed term position until 2nd December 2027. Located on the Camperdown Campus at the School of Physics Exciting opportunity to contribute to one of the leading Physics departments in
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interdisciplinary research efforts process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. About you a PhD in Neuroscience, Computational Neuroscience
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imaging technologies. Our research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, MRI-Physics, radiation therapy physics, and computational
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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
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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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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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