14 computational-materials-science Postdoctoral positions at University of Sydney in Australia
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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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and endothelial dysfunction. The project involves collaborative research with a team of experts in thrombosis, materials science, surface engineering, patient treatment and industry translation. You
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, systems thinking, and organisational studies. We are seeking a Postdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systems (Level A) to join a new research stream focused
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
looking for a Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon who has: a PhD (or near completion) in environmental science, computer science, engineering
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– biomaterials, bioengineering, tissue engineering and regenerative medicine demonstrated proficiency in biomaterials synthesis, biofabrication/bioprinting (lithography-based technologies), and materials
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international research collaborations disseminate research findings About you: an awarded or near completed Ph.D. in a relevant discipline (e.g. Medical Physics, Radiology, Computer Science, Physics, Mathematics
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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