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Council (ARC) to Professors Michael Keane and Alan Woodland. The grant supports research aimed at building more sophisticated labour supply models into macroeconomic models that are used for optimal tax
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programs-ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models
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focus on COVID-19) involving a number of key Australian institutions. The research will use health economic and infectious disease modelling to evaluate the impact and cost-effectiveness of population
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advanced statistical modelling to examine discreteness beliefs and prejudice patterns across cultures analyse societal-level predictors such as cultural tightness - looseness and collectivism - individualism
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the opportunity We are seeking to appoint a Postdoctoral Research Associate in Mathematics and Statistics to work on a project entitled “Data-driven modelling of dynamical systems: A measure transport
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models for muscle and tendon repair, and the creation of integrated bone–tendon–muscle regeneration systems and advanced regenerative microenvironments. The role also offers opportunities for student
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-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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Salary $113,400 - $121,054 p.a + 17% superannuation About the opportunity We are seeking an outstanding Postdoctoral Research Associate in Deep-time Paleogeography and Paleo-climate Modelling to join our
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science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and inference in physics contexts. Essential criteria