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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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these patients due to anovulation from unnatural hormone therapy. The PhD candidate will leverage multimodal datasets from dynamic hormone profiling and biosensors for ambulatory assessment to develop mathematical
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PhD Research Fellow in mathematical modelling of sex-differences in the human adrenal cortex and its disorders at the Department of Informatics, University of Bergen, Norway (ENDOTRAIN) PhD
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common bioinformatics workflows is required. Preferred Qualifications PhD in Bioinformatics, Genetics, Computational Biology, or a related quantitative field. Experience integrating large multimodal
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interpretation, and clinical informatics. Preferred Qualifications PhD in Bioinformatics, Genetics, Computational Biology, or a related quantitative field. Demonstrated success in integrating large multimodal
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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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. 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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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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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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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