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solutions to problems they encounter, and positively develop safety risk intelligence (SRI). Key research questions include: What are the motivating conditions for developing safety risk intelligence in
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source of type errors. This project will explore interactive visual tools (e.g. plugins for modern editors and integrated development environments) which clearly communicate this information
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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
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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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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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this role, you will plan and coordinate teaching and learning workshops, oversee assessment and results, support curriculum development and quality assurance, and assist with course guides and promotional
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Despite the popularity of providing text analysis as a service by high-tech companies, it is still challenging to develop and deploy NLP applications involving sensitive and demographic information
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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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residential services to develop tailored solutions. Provide compassionate support and guidance to staff and students during challenging situations. Drive awareness and resilience through presentations and
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procedural fairness. Apply best-practice risk assessment strategies to identify and mitigate threats early. Collaborate with experts across legal, security, counselling, and residential services to develop