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forecasting/uncertainty. Holger Maier is internationally recognised for developing and applying AI/machine learning, optimisation (notably evolutionary algorithms), and decision-support methods for complex
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, administrative, and facilities- based support to assist teaching staff and students to achieve teaching, learning and research outcomes associated with the Rural Health School. Skills and Experience To be
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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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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algorithms for inverse molecular design. High-impact publications in premier machine learning conferences (e.g., ICML, NeurIPS, ICLR) and leading interdisciplinary journals at the intersection of AI and
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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
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, partnership, and truly student-centred learning. Whether you come from a medical or non-medical background, if you’re energised by the idea of transforming the clinical learning experience, we want to hear from
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has a strong position within Australia and worldwide. To learn more about the School, click here . We are currently seeking to appoint Associate Lecturer (Education) x 8 (Level A) in Computer Sciences
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008