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planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally, student will apply sim-to-real adaptation strategies to generalize deep learning
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qualitative research, consumer and community involvement, clinical registries, randomised controlled trials and implementation science. Dr Catherine Robb Dr Catherine Robb trained in dementia epidemiology
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Research data governance is an under-explored issue, and technical infrastructures to support the transparency and control of data collected in human research studies (from medicine to social
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Testing self-driving cars is extremely difficult, as one has to account for a very large space of possible scenarios. In this project, we will explore the application of automated testing techniques
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. Machine learning has been found to introduce and perpetuate discriminatory practices by unintentionally encoding existing human biases and introducing new ones. In this project, we will develop automated
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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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on this technology for its automated warehouses and fulfilment centres. The aim of this project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example
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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