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, and will explore the development of a human-centred decision support system leveraging multimodal data and artificial intelligence. The ultimate goal for the project is to support farmers with
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and structured interview responses; and observable interaction signals such as gaze direction, facial movement, posture, gesture and vocal prosody. The successful candidate will investigate how human
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that could be realised with autonomy and prevents effective human-robot coexistence in complex nuclear operations. The PhD project is aimed at developing technologies, methodologies and assurance frameworks
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requirements: see https://www.postgraduate.study.cam.ac.uk/application-process/entry-requirements FUNDING: This studentship is available to applicants eligible for Home tuition fees and includes a tax-free
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commitment to equality, diversity and inclusion and an understanding of the University's Equality Act and public sector equality responsibilities. Please note applicants must be eligible and willing
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evaluation frameworks for explainable and trustworthy micro-expression analysis, with relevance to human-centred AI, and healthcare-related affect analysis. The core novelty of the project is to shift micro
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to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
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, with an interest in human-centred media technologies. Funding eligibility: This studentship is only available to students with Home fee status in the UK. Enquiries: Informal enquiries may be made to Dr
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their application via https://www.hw.ac.uk/study/apply/uk/postgraduate.htm When completing the online application form, please indicate that you are applying to the ‘EBS EPSRC 2026 PhD scholarship competition’ in
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. These differences introduce distribution shifts that can degrade model performance and reliability over time, particularly in “one-to-many” supervision settings where a single human operator oversees multiple agents