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Nuclear Science and Engineering Undergraduate Scholarship - Department of Defence | Australia | about 22 hours ago
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Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in many real-life applications, including face recognition, automatic
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criteria. We allocate scholarships based on need. Students with the greatest need will receive the highest value scholarships. About the scholarship The Learning Potential Fund provides support through
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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in finite element modelling and machine learning (desirable). How to apply Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy . *The first step is to
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Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
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reinforcement learning. In International conference on machine learning (pp. 2107-2128). PMLR. - Péron, M., Becker, K., Bartlett, P., & Chades, I. (2017, February). Fast-tracking stationary MOMDPs for adaptive
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including software engineering, computer systems, cybersecurity, databases and data engineering, ethics and artificial intelligence, statistics, data science, and the Internet of Things. Staff will also be