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Join the Creative Technologies Discipline Group in the Department of Human-Centred Computing as a Lecturer. This position will work across the Inclusive Technologies research group (www.monash.edu/it/hcc
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physicist with an outstanding research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum
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relevant fields of specialisation for this appointment are operations research, operations management, or a closely related discipline with strong computational and/or mathematical skills with expertise in
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Relevance, quality and achievability of projects to the Monash-Museums Victoria collaborative research
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
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learning to guide the self-aware learning and network formation. As such this expected to be a purely mathematical and computational project. To do this project you would need to apply for a Monash
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resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Mathematical Sciences Honours Program in the Faculty of Science at a Monash campus in Australia. Must
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has