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the appropriate rank based on their education and experience. The broad criteria are noted below. Education The successful candidate must have the following degrees: A PhD or Doctorate in Medical Imaging, with a
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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assessed at each stage of the recruitment process. To be considered for this post, you must also submit a separate online application to the ‘Biomedical Engineering and Imaging Science Research MPhil/PhD
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Management & Research Exchange partnerships Oversee PhD-specific academic processes: Qualifying Examinations (QE), thesis, reviewer coordination. Coordinate QE logistics, reports, and reviewer assignments
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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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image analysis, data processing and machine-learning-based modelling. More about the position The main purpose of the fellowship is research training leading to the successful completion of a PhD degree
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| MAP.INVADER: Invasive alien plants mapping over national extents using an automated and multi-scale remote sensing framework”, with operation code COMPETE2030-FEDER-00922900, at the Polytechnic University
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data, including Digital Image Correlation (DIC/DVC) and three-dimensional image analysis. Generation and exploitation of digital models based on experimentally acquired geometries. Scientific programming
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, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine
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chose them We value authenticity in the application process. Please use your motivation letter to explain, in your own words, why you wish to pursue a PhD and what motivates you to embark on a research