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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. To learn more about the Crick, click here . About the role We are looking for a collaborative and
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About Us Join the School of Biomedical Engineering & Imaging Sciences at King’s College London and play a key role in supporting innovative medical device research that improves patient care. As
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This Postdoctoral Research Associate (PDRA) position will focus on the development of a novel cryogenic super-resolution microscopy platform to enable imaging of molecular processes in the human
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immediate support for all classroom related issues. Provide training to users on the operation of their technology and best practices. Work closely with other ITS staff and departments to troubleshoot and
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immediate support for all classroom related issues. Provide training to users on the operation of their technology and best practices. Work closely with other ITS staff and departments to troubleshoot and
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to determine both AGN activity and star formation directly from survey imaging data, bypassing traditional catalogue-based analyses. The project is funded by the Science and Technology Facilities Council (STFC
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to the candidate progression pipeline. Carry out immunostaining, fluorescence/confocal microscopy, image analysis and quantitative data analysis. Coordinate with fungal engineering and bioelectronic interface teams
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, within the framework of the consortium, X-SeeO2 - ‘Real-time X-ray diffraction and microstructure imaging: accelerating the transformation of cementitious materials into CO2 sinks’ . This project is
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline