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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science; Biotechnology Project funding Project based
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and AI PhD candidate interested in agentic AI, supervised by Dr Teresa Wang and Dr Tongtong Wu at Monash University, jointly with Dr He Zhao and Dr, Dan Steinberg from CSIRO, Dr Yue Yang and David
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Research Fellow, Data Scientist (Wearable Technologies, Digital Health & Artificial Intelligence) Job No.: 697562 Location: Clayton campus Employment Type: Full-time Duration: 3-years fixed-term
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World models are becoming an important direction in artificial intelligence and robotics. Instead of responding only to what is currently observed, an intelligent agent can use an internal model
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around digital technologies for orientation and mobility and particularly the role of Artificial Intelligence in such systems. Undertaking this PhD as part of a larger project has several advantages. First
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partnership between Monash University (Australia) and the University of Bayreuth (Germany). Designed to train the next generation of global research leaders, the program enables candidates to conduct cutting
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publications in established machine learning, computer vision, artificial intelligence, and robotics venues. Depending on the contribution and maturity of the work, relevant conferences include NeurIPS, CVPR
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Recent advances in artificial intelligence have produced highly accurate diagnostic models across a wide range of medical applications. However, these systems often provide little insight into how
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Graph learning has become one of the most successful approaches for analysing complex biomedical data such as brain connectivity networks, molecular interactions, and patient similarity graphs. However, most existing graph neural networks are developed for individual diseases or specific...
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Artificial Intelligence is rapidly transforming healthcare by assisting clinicians in disease diagnosis, prognosis, and treatment planning. While recent advances in deep learning and large language