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, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to apply Artificial Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim
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of Information Technology, and Monash University Malaysia Remuneration: Fully funded PhD Scholarship ($37,000 per annum). The stipend rate is indexed annually and published on the Monash University Graduate Research Stipend
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. The increasing availability of electronic health records, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML
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for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
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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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the University’s adoption of artificial intelligence and emerging technologies. Providing quality, accurate legal advice and guidance to clients that responds to their needs and objectives. Undertaking research
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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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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