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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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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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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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project supported by an ERC Advanced Grant on the Theory of Materials for Bioelectronics. The overall goal of our research is to describe a class of organic materials able to transport ionic and electronic
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and other world leading institutes to carry out pioneering research that benefits society and changes the world around us. Our world-class researchers are driven by a passion and commitment to leaving a
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different from when core theories about the role of media in society were established. We are awash in data about clicks, views, and likes, but we lack evidence about what people now do with media, how
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about future states of species populations and ecological communities. The project will explore the application of dynamical point process models from probability theory to ecology so as to determine
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Preparation, Surface Finish, and their effects using Stream Finishing Technology About the Role Are you ready to push the boundaries of smart machines, industrial automation, and advanced manufacturing? Join a
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Status: Closed Applications open: 27/02/2025 Applications close: 8/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project forms part of an ARC
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for the scholarship, the applicant must: Hold (or be completing) a Masters of Research or first-class Honours degree in physics, chemistry or a related discipline Have some research experience involving computation in