12 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Sydney
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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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Full time, 3-year fixed term, located on the Camperdown Campus at the Faculty of Science Join a cutting-edge ARC Linkage project advancing fish seascape ecology and connectivity modelling to inform
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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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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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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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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a
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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