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structures, Bayesian approaches are proposed along with the supersaturated and D-optimal designs in the literature. This project aims to explore the current literature on Bayesian supersaturated D-optimal
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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is known as 'Blackbox Multi-Objective Optimization for Unknown Functions', which will help the users (e.g., scientists) to explore the input space of their experiments (i.e., x) that maximizes
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for health and performance Sports research objectives/questions: WearOptimo has developed a wearable sensor to sense the hydration status of individuals. The sensor uses micro-needles to penetrate the skin and
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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physics, quantum engineering, or related area. Demonstrated track record of operating and measuring nano-mechanical devices that display quantum behaviour. Demonstrated track record of designing and
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motif, hence renders the identification of the binding protein difficult. Here we propose for the first time to apply the Bayesian information-theoretic Minimum Message Length (MML) principle to optimise
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schedule. Collaborate with mission teams to meet tracking objectives. Perform logging, data trending, and operational safety monitoring. Support testing, troubleshooting, and system diagnostics with
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objectives. You will be empowered to bring together various media and communication areas, shaping the team from the beginning and establishing a cohesive and proactive communication framework. You will lead a