38 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Fellowship positions at Monash University
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simulations and geochemical modeling to investigate landscape evolution and carbon cycling Integrating complex surface process simulations with tectonic frameworks to quantify the impact of weathering, erosion
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transition to Net Zero. You will be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will
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discover them The Opportunity Are you a driven materials researcher looking to pioneer the next wave of scientific discovery? Join the Faculty of Engineering at Monash University as a Research Fellow (Level
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focus on foundation models, medical image analysis, and multimodal healthcare data integration. In this role, you will: Develop novel federated AI methodologies, foundation model adaptation techniques
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the Acute Brain Injury leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets and manuscript
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. Working closely with the Acute Brain Injury leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets
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to develop and implement evolutionary models. 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
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appointment Remuneration: $123,138 - $146,228 pa Level B (plus 17% employer superannuation) Amplify your impact in digital health, wearables and AI-driven research Join our Research Fellow team and help shape
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building secure, reliable, and responsible AI systems? We are seeking a talented and driven Research Fellow (Level A) to join our dynamic team and make high-impact contributions to the critical fields
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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard