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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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About us The Centre for Doctoral Training (CDT) in Advanced Engineering for Personalised Surgery & Intervention (AE-PSI) launched in late June 2024 funded by the Engineering and Physical Sciences
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, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high dimensional inference, longitudinal data analysis, and clinical trials
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imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
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to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being commercialized, quantum
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Project Link: PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics | Project Opportunities | PhD | University of Leeds Eligibility: UK/International Funding: School of
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the Sonkusare Laboratory. The Sonkusare Laboratory employs state-of-the-art calcium imaging, super resolution imaging, patch-clamp electrophysiology, pressure myography, cell-specific mouse models, and
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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areas are drug discovery and chemical ecology. We also envisage to perform complementary spatial metabolomics using the in-house Desorption Electrospray Ionization-Imaging Mass Spectrometer (DESI-IMS
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discovery and chemical ecology. We also envisage to perform complementary spatial metabolomics using the in-house Desorption Electrospray Ionization-Imaging Mass Spectrometer (DESI-IMS). The candidate will