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vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
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-readiness and translational cancer research We welcome candidates from diverse academic and professional backgrounds including health sciences, data science, biomedical informatics, and computational fields
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PhD (or equivalent experience) in evolutionary developmental biology along with experience of developmental and molecular biology techniques, including imaging and gene expression analysis. A proven
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experiments Essential Application/interview Molecular biology experience in molecular cloning to generate new constructs Essential Application/interview Light microscopy/fluorescence imaging experience e.g
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. His research interests include remote sensing image processing, computer vision and machine learning
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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