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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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Bayesian deep learning (e.g., Monte Carlo dropout, deep ensembles, Laplace approximations, and variational inference), several challenges remain: Scalability: Many Bayesian inference methods
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coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport
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of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E. V., Chades, I., & Dezfouli, A. (2022, June). Optimizing sequential experimental design with deep
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points of study) paid per year until the minimum points for your degree are completed. Number offered One scholarship is available and awarded sequentially. Selection criteria Based on academic achievement
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, Perth, WA, Australia with Dr. Navdeep K Dhami in her ARC Discovery project in collaboration with Prof. Allan Pring (University of Adelaide), Dr Carlos Rodriguez (University of Granada, Spain) and Prof
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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. L. Dowe and K.M. Ting (2006). Model-Based Clustering of Sequential Data, Proc. 5th Annual Hawaii Intl. Conf. on Statistics, Mathematics and Related Fields, 22 pages, 16th - 18th January, 2006, Hawaii
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. L. Dowe and K.M. Ting (2006). Model-Based Clustering of Sequential Data, Proc. 5th Annual Hawaii Intl. Conf. on Statistics, Mathematics and Related Fields, 22 pages, 16th - 18th January, 2006, Hawaii
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the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision