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contribution of 17% superannuation applies. Fixed term, full-time position for 2 years. This postdoctoral position offers an exciting opportunity to develop innovative digital tools to support wildlife crime
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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microcombs that reach down to the atomic transition wavelengths for the direct readout of the clock signal. Characterising the optical clock when using the above mentioned and demonstrated narrow linewidth
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of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal seascapes. The project expects to generate new
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, thermochronology, tectonics, geodynamics, surface processes, relational database design, and geological data science. experience using GPlates, Underworld, Badlands, goSPL, Pecube, GLIDE, Age2Exhumation, and/or
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Position Description hyperlinked below. For further information regarding recruitment processes, please contact Jennifer Pham, Senior Talent Acquisition Advisor via email at jennifer.pham2@rmit.edu.au Please
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, please see the Position Description hyperlinked below. For further information regarding recruitment processes, please contact Jennifer Pham, Senior Talent Acquisition Advisor via email at jennifer.pham2
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Cover Letter outlining your interest and experience If you have any queries in relation to this opportunity or the application process, please contact our careers team on CurtinCareers@curtin.edu.au or 08
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing