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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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. 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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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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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
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or more Departments they wish to apply to. Applicants should submit a cover letter, curriculum vitae, statements outlining plans for teaching, research, and contributing to Penn State values (https
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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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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