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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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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse real-world environments. The position involves working on embodied
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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than 110.000 associates, many with a family history of AD, who actively participate in research initiatives and citizen science. This community enables large-scale studies on risk perception, biomarker
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qualification (usually PhD). Tasks: The successful candidate will contribute to one or more of the following focus areas: Human-Centered Design and Interaction: advance understanding of human sensory perception
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/ habilitation thesis). Tasks: The successful candidate will contribute to one or more of the following focus areas: Human-Centered Design and Interaction: advance understanding of human sensory perception, trust
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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these neurons in rats, in order to find out how the cells “know” which direction the animal is facing. This process involves a mixture of sensory perception (for example of the visual scene) and learning (is this