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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is
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innovative journalism scholarship and education, advancing critical inquiry and creative engagement with global, technological, and societal change. In this role, you will prepare and deliver lectures
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electrons and magnetism in topological insulators" "Plasmonics in monolayer materials" web page For further details or alternative project arrangements, please contact: dmitry.efimkin@monash.edu
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). "Statistical field theory applied to complex networks” "Quantum geometrogenesis – Graph theoretic approaches to building spacetime” web page For further details or to discuss alternative project arrangements
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feedback and communicating the insights effectively to learners? RQ3: How does learner feedback literacy develop when interacting with feedback provided by humans versus AI? We offer two PhD scholarships
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to apply various technologies to construct numerous educational systems and tools to facilitate teaching and learning in the past decades. For instance, with the development of Web technology, a large number
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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nanomaterials" (with Prof Nikhil Medhekar) "Ultrafast charge dynamics in photoactive materials" "Artificial-intelligence-controlled atom-by-atom synthesis of functional organic nanomaterials" web page For further
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frameworks; develop the University’s long-term financial model; and embed best practice across budgeting, forecasting, scenario planning, research revenue reporting and analysis. This role will lead financial
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often provide dietary advice based on the average responses of groups to specific foods, rather than considering individual glycemic responses. This project aims to develop an AI-driven, personalised