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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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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
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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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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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, 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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that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (aerospace engineering, electronics or related fields) You have proven experience in
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requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy
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. Job requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (aerospace engineering
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engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow measurement techniques and PIV. Familiarity with optics, lasers, image