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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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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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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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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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for other duties, skills and experience required for this position. Welcome to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng Benefits 17% employer contributed superannuation
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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
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Data Scientist, you will design, build and deploy production‑grade data science, machine learning and GenAI solutions that address complex, real‑world problems. This is a hands‑on, end‑to‑end role where
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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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teach RMIT programs at our Danang and Hanoi campuses. This role may involve delivering short courses, pathway programs, or degree programs, and includes all aspects of teaching, including preparation