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procedures. Your research sits at the intersection of medical image analysis, generative AI, and blood flow modeling. You will: develop deep generative models (such as latent diffusion models, implicit neural
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on improving the diagnosis and treatment of coronary artery disease, with a clear focus on clinical application during catheterization procedures. Your research sits at the intersection of medical image analysis
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PhD candidate to develop the modeling and signal analysis methods that turn nanobubble ultrasound imaging into a quantitative diagnostic tool. You will work with imaging data acquired from lab-grown
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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MRI, high-resolution confocal microscopy and electron microscopy. Develop and refine imaging analysis pipelines, using appropriate software, quantitative approaches and innovative analytical methods
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. Chris Stolk (University of Amsterdam). You will interact with researchers with backgrounds in inverse problems, numerical analysis, scientific computing and imaging, and with project partners working
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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differential equations that require careful modeling and analysis. Imaging optics involves the design and optimization of imaging systems, such as cameras and telescopes, to most accurately capture and reproduce
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and realistic imaging applications. The mathematical level and type of research are illustrated, for example, by the paper An Analysis of Constraint-Relaxation in PDE-Based Inverse Problems by Van