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Field
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-image pipeline producing around thirty machine images, a self-hosted monitoring platform, a centralized security-logging pipeline, and in-house compliance and security automation — all managed as code in
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bring-up, debugging, and validation Integration of sensors, microcontrollers, FPGAs, SoCs, and embedded processors Embedded programming in C/C++ Real-time signal processing and embedded perception, hardware
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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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. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2. Demonstrated research experience in 2D/3D
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-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound
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. The project offers a unique opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation.
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, prototype manufacturing and assembly of wave energy equipment. Liaison and organization of large-scale indoor tests of wave energy equipment. Channel expansion and industry exhibition promotion of wave energy
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, data collection, image processing, and three-dimensional structure determination. Design, execute, and troubleshoot experiments to achieve research objectives. Manage research projects of moderate scope
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27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration