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short and long-term investment portfolios through effective strategy development and execution, governance, management, and control. Champion the integration of ESG principles across investment and debt
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the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of online criminal communications, exploring texts for automated understanding of intent, sentiment
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following failures of command or task execution by robots [Baker, 2018, Esterwood 2022, Park 2023], little work has been done to estimate the effects of direct disobedience on human-robot trust and joined
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while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and
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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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broad range of topics: from model-predictive building control and community battery integration to wind farm optimisation and multi-decade investment planning, we support clever algorithms and data
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will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement
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interactions. In this research, you need to understand how spins interact with their environment and how to read-out and control single spins. This requires understanding of concepts like atom optics, magnetic
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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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on academic achievement. Preference to support applicants who are self-funded and/or employed by a Community based Indigenous Community controlled organisation. To retain this scholarship: You must maintain a