295 physics-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This project focuses on automating this process through the training of AI models to detect
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defined research projects while building your independent academic profile. Key Responsibilities: Investigate the growth, physical properties, thin films, and optoelectronic device development of 2D metal
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finance process design outputs Identify risks and dependencies within the finance workstream and drive resolution in a structured, timely manner What You'll Bring Demonstrated experience leading finance
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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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School of Physics and Astronomy in the Faculty of Science sits at the forefront of discovery, attracting researchers who want their work to matter beyond the laboratory. This fixed-term, full-time Research
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- and the people who discover them The Opportunity Join the Faculty of Science at Monash University’s School of Physics and Astronomy and contribute to cutting-edge research in experimental condensed
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of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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ability to translate technical finance requirements into clear system and process documentation CPA or CA qualification, or equivalent professional experience Experience working within Monash University's
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Vision-Language-Action (VLA) models are changing the way robots perceive their surroundings, interpret instructions, reason about tasks, and interact with the physical world. By bringing vision
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, where behaviour is dynamic, uncertain, and strongly influenced by context. Most existing world models concentrate on physical environments, object dynamics, navigation, or robotic manipulation. Human