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Field
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About Us The School of Biomedical Engineering and Imaging Sciences is an interdisciplinary School dedicated to the development, clinical translation and clinical application of medical imaging
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environment and receive training in complementary experimental approaches in cellular and synaptic neuroscience. The project combines primary neuronal cultures, mouse models, advanced fluorescence imaging
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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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publications and presentations · Ensures the accuracy and reliability of image data and analysis methods, implementing validation processes when necessary · Will work as a team to optimize machine learning
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, Computational Biology, Biomedical Engineering, Computer Science or related field (preferred) Minimum 1 year of experience with neuron reconstruction and/or image processing workflows Experience working with
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imaging technologies for noninvasive diagnosis and monitoring of human disease, with a particular focus on skin imaging across the full spectrum of skin pigmentation. We combine biomedical optics
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on the development of new therapeutic strategies for cancer. The Research Technician I performs routine and specialized laboratory and animal research procedures in support of ongoing biomedical research projects
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, biomedical data analysis, medical imaging, or related domains; At least 3 years of managing experience in international R&D/I projects related to AI in healthcare, wellbeing technologies, multi-modal data
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds