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We are seeking a highly motivated PhD candidate to contribute to an ARC (Australia Research Council) DECRA (Discovery Early Career Researcher Award) project, “Artificial aquatic ecosystems – sources
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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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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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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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integrating multiomics data from patient biopsies, cerebrospinal fluid (CSF), blood samples, and patient-derived xenograft (PDX) models. By combining these datasets with advanced artificial intelligence
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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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/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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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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science, quantum science and nanotechnology, gaining state-of-the-art expertise in these areas of research. Carbon-based nanomaterials for future electronics, optoelectronics and spintronics Artificial