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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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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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lead key internationally competitive research from molecules to medicines, from patient to policy across a range of therapeutic areas. The Shine Lab at the University of Sydney invites applications for a
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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
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collaboratively as part of a research team, through an understanding of the subject matter within the discipline. Your key responsibilities will be to: design and fabricate in vitro/microfluidic model systems
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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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be to: conduct high-quality research in relevant project areas undertake project-wide data and sample analysis, synthesis and curation, and assist CIs with overall project coordination lead the
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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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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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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