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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
- $121,054 + 17% superannuation About the opportunity The School of Civil Engineering at The University of Sydney is recruiting for a Postdoctoral Research Associate in Global Environment Modelling of Soil
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approach to evaluating and managing multi-stressor impacts within these urbanised estuaries. The successful applicant will build on their expertise in marine seascape ecology, simulation modelling and large
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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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, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks Institution: SciGEM, School
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute to competitive grant proposals and research impact activities
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a
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ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to apply
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level