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chemistry, structural biology, and biophysics. We welcome applicants from a range of backgrounds, including computational chemistry, biophysics, molecular modelling, or data science. If you are excited by
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-national ERC Synergy Programme, EndoTheranostics, aiming to revolutionise Colorectal Cancer Treatment. The post-holder will work in the School of Biomedical Engineering & Imaging Sciences, King’s College
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Research Fellow in Geosolutions: Subsurface Imaging and Uncertainty for Georesources This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
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chemistry, structural biology, and biophysics. We welcome applicants from a range of backgrounds, including computational chemistry, biophysics, molecular modelling, or data science. If you are excited by
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methodologies for the analysis of the multimodal data. A first / masters degree (or equivalent) in Computer Vision, AI, Image Guided Interventions, Medical Robotics We are looking for high calibre applicants with
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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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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical