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Lab at Delft University of Technology and lead the instrumentation development for BEAMSurf: Diffractive Atomic-Scale Surface Imaging with Backscattered Electrons, an ERC Starting Grant project led by
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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Are you excited about pushing the boundaries of ultrasound imaging? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition
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Observation Programmes and colleagues from the Directorate of Technology, Engineering and Quality. There may also be collaboration with scientists and engineers in other divisions at ESA. You will be part of
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imaging applications. The researcher will work in an interdisciplinary MRI research environment and collaborate closely with researchers in MR physics, engineering, and biomedical imaging. The position
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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, Electrical Engineering, Applied Physics, Computer Science, Medical Imaging, or a related field. Strong expertise in ultrasound imaging, signal processing, computational imaging, medical image reconstruction
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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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engineering, substrate recovery strategies, manufacturing process development and process integration. The ultimate goal is to establish scalable and sustainable manufacturing methodologies that reduce material
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5 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Systems engineering Researcher Profile