23 phd-in-mathematical-modelling-population Fellowship positions at Monash University
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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trajectory. About You You must be available to start mid-to-late 2025 Level A applicants are expected to have: A PhD (or be near completion) in engineering, applied mathematics, or computer science. Experience
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
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attitudes, gender biases, and behaviors influence student performance and interest in Science, Technology, Engineering, and Mathematics (STEM) subjects and careers. Additionally, the project will explore how
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collaborative team advancing concussion care through innovation Research Fellow role driving consumer-led models in brain injury care The Opportunity Join a dynamic research team at the Monash-Epworth
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tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published