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This PhD project will develop intelligent, data-driven methods for integrating diverse autonomous vehicles, such as buses, shuttles, pods, cars and micromobility vehicles, into public transport
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This PhD project will develop intelligent, data-driven methods that enable electric vehicles (EVs) to serve as mobile energy storage while remaining readily available for transportation
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) International Scholarship Opportunities at Faculty of Engineering Job No.: 673887 Location: Clayton campus Employment Type
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unavailable or imprecise, either because the species is cryptic and hard to detect by visual monitoring or because current methods struggle to separate individuals from one another. Passive acoustic monitoring
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) Domestic Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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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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This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection, risk stratification and prognostic prediction of colorectal cancer, with a focus on
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PhD Scholarship: The Economics of Mental Healthcare Markets, Centre for Health Economics, Monash Business School Centre for Health Economics, Monash University Location: Caulfield campus Duration
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results Research papers arising from the major contributions PhD thesis Publication expectations This is a research-oriented PhD project, with an emphasis on developing methods that contribute beyond
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they are doing, how they are responding to the robot, whether they intend to interact, and how these behaviours are likely to change over time. This PhD project will explore human-centred multimodal world models