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Research Fellow in Earth System modelling Job No.: 682250 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand
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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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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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focused on advancing personalised and innovative approaches to addiction care. This dynamic and collaborative position works closely with a multidisciplinary team of neuroimagers, computational modellers
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protocol development, psychotherapy coordination, database design and participant engagement strategies. This position sits within a collaborative team of neuroimagers, modellers, psychedelic-based
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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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The Level A Research Fellow is responsible for advancing the University’s research objectives by contributing to a defined project in the field of applied econometrics. This position supports the development
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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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in data analysis, manuscript preparation and problem-solving will be important, as will the ability to work independently while contributing effectively to a team. If you are looking to advance your