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learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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into fundamental molecular events. At the same time, access to translational pipelines will enable the candidate to apply their learnings in a meaningful way, revealing novel therapeutic targets critical for cancer
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be
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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
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outcomes of this project include innovative methods for robot learning to improve shared movement quality. The PhD candidate will research movement and choreographic structures applied to human-robot
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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Status: Closed Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a