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interaction, learning, and emotional engagement through multisensory integration and scene understanding. Predictive and Adaptive Systems: leverage multimodal data to predict human intent, improve action
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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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, control, and interaction for real-world robotic systems Deep learning, multimodal learning, or large-scale AI systems Demonstrated experience in robot deployment, experimentation, and applied AI development
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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Website https://bit.ly/3HDLRTw Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Specific Requirements Position Specific Required Qualifications: PhD in in Computational Sciences
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considers how digital editions can break away from static, book-like representations of historical texts, to take full advantage of digital medium—incorporating interactive, multimodal, and networked elements
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personalized sound-based health interventions Multimodal imaging studies combining neuroimaging with acoustic analysis to map music-brain interactions Our tenure and promotion process values collaborative
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reinforcement learning, and tackles problems in multimodal and interactive AI. We solve interdisciplinary challenges in collaboration with researchers in creative technologies, the environmental and life sciences
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cortex. Neurobiology of Learning and Memory https://doi.org/10.1016/j.nlm.2021.107525 Defining the sensory neuron response to nerve injury Supervisors: Dr Greg Weir A PhD position is available in
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 22 days ago
-cell RNA sequencing, metabolomics, flow cytometry, etc.). The main objectives of this PhD project are: 1. To decipher key interactions between tumor B cells and TME populations in order to better