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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from
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technologies.” Within the Num’Agnel project, the Postdoctoral researcher will be responsible for developing and investigating innovative approaches for the detection of early signs of lambing using video data
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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. The research will involve generation of predictive video from delayed video in order to compensate for wireless latencies, for applications such as teleoperation, vehicle localization and health monitoring
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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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multimedia narratives aimed at communicating ocean biodiversity challenges and changes to diverse public audiences. These outputs may include audio documentaries, video shorts, photography, or other digital
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, ideally with a focus on creative activities, and engaging research methods (e.g. participatory video, photovoice, participatory workshops, Lego Serious Play). Experience of writing research outputs, such as
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pathways. As part of the application, applicants are asked to submit a short video sharing personal motivation for their work, what draws the applicant to the research problem or question, and why