95 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Sydney
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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one of the flagship projects of the University of Sydney’s 2032 strategy, myResearch Sydney touches upon numerous strategic priorities, and impacts the work of many academic and professional staff. As
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to: contribute to an interdisciplinary research program investigating the biochemical properties of a novel enzymatic oxygen sensing system and its role in low oxygen diseases facilitate drug discovery efforts
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to the transformation of Australia’s National Cervical Screening Program, which transitioned to HPV testing in 2017, positioning Australia as the first country expected to eliminate cervical cancer as a public health
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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of Project Management, but will work closely with interdisciplinary teams across the Management and Organisation Sciences, Social Sciences, Urban Studies, Engineering, and Computer Science to advance research
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advanced statistical methods and software, they source, prepare, and analyse complex datasets to inform decision-making and drive organisational performance. They lead evaluation projects, develop tailored
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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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