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challenges: Successful candidates will contribute to one or more of the following research domains: development of autonomous navigation and path planning algorithms for lunar terrain traversal and regolith
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activities. The Sydney EarthBank node will join the national AuScope Geochemistry Network , an Australian consortium of Earth Science institutes cooperating to develop national geochemistry research
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representation beyond the human. This project involves developing experiments in more-than-human inclusion is two different contexts. The first concerns local adaptation planning, engaging with regional government
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to examine the key interdependencies inherent in managing and leading complex projects, including projects in the face of climate change. The program engages with these dynamics to develop skills for effective
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developing the brightest minds in health education and research to make and shape the future of health. Sydney Local Health provides a diverse range of public healthcare to more than 740,000 people living
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research, scholarly or professional activity, independently or as part of a team, contributing to discipline knowledge develop and refine independent research skills under the supervision of more senior
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sustainable coastal development and marine management. Base Salary Level A, $113,400 - $121,054 p.a + 17% superannuation About the opportunity The School of Life and Environmental Sciences is currently seeking
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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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Claire O’Callaghan, the successful candidate will join a collaborative, interdisciplinary team, where they will be supported to develop their own research questions and lead projects. Experience in
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and