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, university, and stakeholders Develop project documentation, updates, and reports, while contributing to complex administrative and data-related tasks Provide expert advice and support to ensure excellence in
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expertise in life sciences, with the ability to understand and evaluate scientific innovations, and translate them into compelling commercial opportunities and strategies Well-established networks across
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landscape and a passion for Indigenous advancement. To succeed in this role, you will bring: Proven leadership experience at the senior management level in large, complex organisations, with the ability
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statistically significant interactions between genomic profiles and drug sensitives remains very challenging due to size and complexity associated with “omics” data and unrevealed pathway dependencies between
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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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has been identified References: Comley, Joshua W. and D.L. Dowe (2003). General Bayesian Networks and Asymmetric Languages, Proc. 2nd Hawaii International Conference on Statistics and Related Fields, 5
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. For many real-world planning problems however, it is difficult to obtain a transition model that governs state evolution with complex dynamics. Fortunately as visualised in Figure 1, recent works
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Aim/outline Graphs or networks are effective tools to representing a variety of data in different domains. In the biological domain, chemical compounds can be represented as networks, with atoms as
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We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on. We can model these relationships
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for helping humans meet this challenge are causal Bayesian networks, which can accurately model complex probabilistic systems. However, because people are notoriously deficient in probabilistic reasoning