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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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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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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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, ophthalmology, pharmacology, or a related discipline. Conduct high-quality wet laboratory research: test novel therapeutic candidates using in vitro, ex vivo, and in vivo experimental models. perform assays
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given the opportunity to work collaboratively with a high performing team with increasing capability and capacity expanding research areas to double junctions and triple junctions tandeming perovskites
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relevant areas to understand both the palaeo-environmental evolution as well as to unravel the redox structure of the water column and investigate geochemical weathering proxies to help build a picture of
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including from various parts of Australia, India and other relevant areas to understand both the palaeo-environmental evolution as well as to unravel the redox structure of the water column and investigate
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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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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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) in FPGA design, machine learning or a 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