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estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification
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advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging and biomechanical assessment
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requested to be available. Where to apply Website https://www.academictransfer.com/en/jobs/363267/phd-in-computational-imaging-fo… Requirements Additional Information Website for additional job details https
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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characterising 3D primary spheroid models for MCL, DLBCL, and Richter syndrome using patient samples from in-house biobanks. Implementing and fine-tuning state-of-the-art AI image segmentation models for automated
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using