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testing and assessment of device-assisted aerosol delivery under clinically relevant operating conditions. Data processing, image analysis, uncertainty assessment and experimental interpretation using
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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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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As a PhD Candidate with us, you will help turn early railway
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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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31st October 2026 Languages English English English PhD Candidate in Quantifying the Benefits of Wayside Detection for Railway Infrastructure Apply for this job See advertisement This is NTNU NTNU
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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
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on the PhD projects you marked to be interested in. This will enable to make a final selection of your project in mutual consultation. Visit our website for more information about the application process or
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging" within the Photoacoustics & Ultrasound
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for general criteria for the position. Preferred selection criteria Familiar with use of real-world data Experience with fieldwork Experience with signal and image processing Personal characteristics