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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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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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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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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
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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slurries, improve our understanding of blood flow, and support the development of sustainable manufacturing processes. This PhD position is part of the ERC Advanced Grant project IDeS and you will join a