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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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experiments and computational/bioinformatics analyses. Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings
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cell biology and disease modelling. The successful applicant will employ human pluripotent stem cell (hPSC)-based models and in vitro differentiation to dissect the links between chromosomal copy number
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and computer simulated EIS spectra. Develop a prototype decision support system dedicated to the EIS based oral cancer diagnosis and implement the system on a dedicated PC for both project demonstration
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources. Picture healthcare as a jigsaw puzzle where every piece tells part of your story
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industry worldwide, as well as with research experts in manufacturing at the School of Mechanical, Aerospace and Civil Engineering. You will be employed by the University of Sheffield but based at Cutting
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men