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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, independent, and organised approach to research Desirable (not essential) skills include experience with version control (e.g. GitHub), automated reporting (e.g. R Markdown), or interactive
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Factors theory and application in health systems. About Monash University Join Monash University’s dynamic research environment at the Alfred precinct, where ground-breaking translational medicine meets
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. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground-breaking – a place where great things happen. We value difference and
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to something ground-breaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion
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belonging, from contributing to something ground-breaking – a place where great things happen. We make tangible contributions because our purpose is clear; to deliver positive economic, social and
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into the broader ACCESS Earth System Model 3 (ACCESS-ESM3), in close collaboration with the ACCESS-NRI team. The project will answer fundamental scientific questions about the interactions between ice sheets
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-services-and-policy At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen. We make tangible contributions because
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to something ground-breaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion
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survey and experimental strategies. Join us and contribute to ground-breaking research that can make a significant impact on agricultural practices in North India. As the successful candidate, you will