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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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the next generation of personalised AI health coaching systems. Students will join a multidisciplinary PhD cohort spanning health, behavioural science, artificial intelligence, data science, and digital
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, advanced characterisation, computational modelling and artificial intelligence. Project Details Start: 2027, flexible by agreement Graduate research degree: Doctor of Philosophy (PhD) Location: Clayton
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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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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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large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next
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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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-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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candidates with an undergraduate or postgraduate qualification in a computing discipline such as data science, artificial intelligence, machine learning or computer science. which has included training in