44 algorithm-development-"St"-"St" Postdoctoral positions at University of Sydney in Australia
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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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at the interface of polymer chemistry, solid-state materials and electrochemistry develop and optimise templating techniques for controlled structure formation and material design design, characterise, and optimise
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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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demonstrated ability to drive and conduct research efficiently and independently ability to collaborate in multidisciplinary teams to contribute to long-term research goals experience in, or willingness to train
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. Your key responsibilities will be to: deliver outcomes in a research project and ensure that milestones are met work with colleagues and postgraduates within the project prepare materials
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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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more about the Australian Centre for Robotics (ACFR), click here . In this role you will: work closely with a team of academics and researchers as part of world-leading research program develop new
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neuroscience and functional neuroimaging prepare research findings for publication in reputable scientific journals collaborate with members of the Shine Lab and external collaborators to enhance
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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