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visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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Skip to content PhD student in Computerized Image Processing with focus on Applications in data-driven precision medicine Uppsala University Share: Facebook Twitter LinkedIn Email Application
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-specific digital twins for cardiovascular diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D
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diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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supported by the KI Innovations office to translate research findings into clinically applicable tools for improving healthcare. The core competences of the group include large-scale image processing
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, signal and image processing, data-driven and physics-based models, as well as clinical validation and implementation. Neuroengineering increasingly incorporates AI‑based approaches to support
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develop the service-oriented, event-driven architecture, which includes DICOM and email ingestion, data acquisition, image processing and AI inference, reporting and forwarding Install, configure and
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light and electron microscopy (cryo-CLEM). Experience with subtomogram averaging and/or advanced cryo-ET image-processing workflows. Experience with commonly used cryo-ET software and computational
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medical image analysis and biomechanical simulation. Our research focuses on biomechanical imaging and modelling to improve the diagnosis, treatment, and prevention of a wide range of injuries and