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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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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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within the classification level as required. About you PhD in a relevant field - biomaterials, bioengineering, tissue engineering and regenerative medicine demonstrated proficiency in biomaterials
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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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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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through in silico, activity and structural screening. support, train and supervise junior members of the team, including undergraduate students and PhD candidate, working in biological chemistry disseminate
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contribution of 17% superannuation applies. 24 Months Fixed term Part time position until Oct 2027. This postdoctoral position in computational cognitive science and data science offers an exciting opportunity
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Innovation Centre. This appointment is one of up to six new postdoctoral positions in this research area for 2025. This position is best suited for candidates with a strong background in computational
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) A PhD in a related discipline, and/or relevant work experience. Experience in at least two of the following areas: engineering design, thermodynamics calculations, heat transfer, fluid flow, radiation
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. The position will provide technical and research knowledge in the field of implementation science, contributing to a range of projects conducted within the Implementation to Impact program, School of Population