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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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, 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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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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across the Schools of Pharmacy and Medicine. We have recently used magnetic resonance imaging (MRI) technique to image what happens in the bowel to tablets and capsules that people swallow to take their
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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discussed individually during the application process. Why Basel? The University Hospital Basel is one of Europe's leading academic medical centres and has been ranked among the top hospitals worldwide by