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combines multimodal neuroimaging with computational modeling to characterize the neural mechanisms underlying human social decision making. The focus of this project will be to unravel the neurocomputational
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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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Engineering at Luleå University of Technology, is now looking for a PhD student to contribute to our growing activities. The RAI team is conducting fundamental research in all the aspects of robotics with a
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. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation embodied agents that interact naturally and safely with humans and their environments
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2026 at latest The students will be enrolled in the structured PhD programme in the Department of Bioengineering, Imperial College London. https://www.imperial.ac.uk/bioengineering/admin/research
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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multimodal satellite Earth Observation and machine learning can be used to quantify cyclone and storm damage in plantation forests. The core focus could be on integrating pre-storm LiDAR with post-storm
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Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in the Department of Bioengineering, Imperial College London. https://www.imperial.ac.uk
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Educational NLP with Multi-Agent and Multimodal LLMs for Inclusive and Collaborative Learning School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Zheng Yuan
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will build foundation models for multimodal brain imaging and apply them to clinical radiology applications, temporal imaging data (perfusion imaging) and response to radiotherapy assessment