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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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between the labs of Prof. Notingher (expertise in Raman spectroscopy), Dr. Gordon (Optical Fibre Imaging) and Dr Mohammad (snake-like medical robots). For further information: please contact Ioan Notingher
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practical solutions for safer participation. Projects may be supervised or co-supervised by experts from Engineering Science and the Medical Sciences Division. Potential Supervisors: Prof. Thomas Okell, Prof
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fostering long-term career development. Application procedure For more information please contact Prof. dr. Alex van Vliet, tel.: +32 16 37 39 48, mail: alex.vanvliet@kuleuven.be. You can apply for this job
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to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the development of innovative
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analysis tools (e.g., GraphPad Prism, R, or Python) for statistical analysis and data visualization. Selection process For more information please contact Prof. dr. Alex van Vliet, tel.: +32 16 37 39 48
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on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine
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manufacturer. This is the main reason for which a large part of an aircraft’s lifecycle operation cost is spent for inspecting its structural integrity on the ground. On-line detection, autonomous and
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new types of measurements, can help us create a more complete picture of the electron wavefunction. The project relies on a combination of concepts from quantum mechanics, information theory, and