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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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approximately 10–15% of women of reproductive age. The project aims to integrate fragmented biomedical evidence into structured resources and predictive models that support non-animal approaches to chemical
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models for prediction and recommendation Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models
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metabolic design, supported by experimental validation, to predict, create, and expand metabolic capabilities beyond those currently found in nature. Together, these approaches aim to build a generalisable
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specifically targeting anomaly detection and predictive modelling to drive real world pharmaceutical outcomes. Working within a collaborative, multidisciplinary environment across Monash and CSL Behring, you'll
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to keep the digital twin synchronized with the physical state in near real-time Connecting predictive ML models, computer vision systems, and simulations with visualization platforms to provide actionable
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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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used to support real-time monitoring, predictive maintenance, geohazard detection, and safer railway operations. The initiative is a collaboration between the Department of Electrical Engineering, the