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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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. Bert Koopmans, based at Eindhoven University of Technology. PhD candidate 1 will explore fundamental processes underlying the deterministic creation and annihilation of sub-diffraction limited skyrmions
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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an image. Modern inverse freeform design methods compute surfaces that convert a given source light distribution to a desired target light distribution. These can be used to guide the design process for
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scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations
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at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
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and biomechanical assessment of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging
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The PhD projects listed below are embedded in 4 larger programmes: Green Steels: The Dutch steel sector faces a major transition. The production, processing, use and recovery of steel is to be made
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy