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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
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research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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www.daslabpombe.com. For this research, we will use yeast genetics, live-cell imaging, protein dynamics, in vitro reconstitution, quantitative microscopy, and mathematical modeling approaches. Our lab is well equipped