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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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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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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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PhD candidate will have: A strong background in computer science, artificial intelligence, machine learning, or a closely related field. A solid understanding of machine learning concepts, particularly
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offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
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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
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First Class Honours or a Master's degree in a relevant discipline. Depending on the project, suitable backgrounds may include: Engineering Computer Science Artificial Intelligence GIS and Spatial Science
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/graduate-research/future-students/scholarships/scholarship-policy-and-procedures . The Opportunity Artificial Intelligence – particularly generative AI – is transforming society faster than we can understand
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candidates for PhD study in the Department of Data Science and Artificial Intelligence at the Faculty of IT, Monash University. As part of this scholarship, the successful candidate will develop novel
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computer science, information technology, artificial intelligence, machine learning, software engineering, computer/electrical engineering, or a closely related discipline. This PhD project is part of a