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Field
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the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. Key Responsibilities: Research on the cutting-edge AI algorithms
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of the Research Associate/Fellow includes conducting research on medical imaging data processing, 3D reconstruction, and AI algorithms with surgical robotics. The RA will not only design and implement state
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). Salary progression beyond this scale is subject to performance. Closing Date: Wednesday 24 April 2024 Reference: SCI084224 In this project we are developing AI-powered imaging techniques to help improve
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on biomedical image and signal processing, medical image computing or magnetic resonance imaging is advantageous but not required. Our research team follows a hybrid work structure where employees can work
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research project, you will focus on developing and applying cutting-edge image processing techniques to extensive collections of medical images, resulting in the creation of novel biomarkers. Your work will
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Previous experience in the participation of health research or innovation projects. Programming (Matlab, Python), advanced statistic knowledges, biomedical images processing Specific Requirements Advanced
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: To be confirmed Reference: 2562423EB-R Applications are invited for an enthusiastic Research Assistant or Research Fellow to join the Molecular Biophotonics and Imaging group within the School
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Biophotonics and Imaging group within the School of Chemistry and Institute for Life Sciences at the University of Southampton. OrganVision is funded by European Union’s FET Open Horizon-2020 grant in a
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on the quantitative analysis of dynamic functional processes. Through quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue
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Qualifications* PhD Experience in Medical imaging and dosimetry as well as good computer programming skills Desired Qualifications* Nuclear Medicine, nuclear physics experience. Experience with DICOM. Experience