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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
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, multimodal interaction analysis, explainable AI, fairness, privacy and governance. The survey should identify key gaps in the literature and briefly explain how the proposed PhD research could address them
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30th September 2026 Languages English English English The Department of Teacher Education has a vacancy for a PhD Candidate in Children’s Media in English Apply for this job See advertisement
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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monitoring of medical conditions by leveraging new or existing medical datasets To support multimodal brain–AI applications, exploring how EEG representations can interact with language and visual models
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. Experience of working with large multimodal datasets. Interest in human-computer interaction and human-centred system design. Strong communication and organisational skills. While is not necessary to have
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, 24th Month, 4 months, working with autonomous navigation system with the aim of simplifying the interaction between farmers (or non-expert users) and agri-robots for programming field missions
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Glioblastoma (GBM) is an aggressive brain tumour whose progression is strongly influenced by communication between tumour cells and the brain microenvironment. These interactions are spatially organised
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restoration and reconstruction of cultural heritage: contribute to the design and implementation of multimodal interaction with cultural heritage in order to open wide access to cultural heritage through