23 postdoctoral-image-processing-in-computer-science Postdoctoral positions in Netherlands
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- Delft University of Technology (TU Delft)
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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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sensing, advanced image formation, and functional imaging methods. As a postdoctoral researcher, you will play a central role in this ambitious programme and act as a technological integrator across
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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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. This postdoctoral focuses on developing a new paradigm for the circular manufacturing of heterogeneous photonic integrated circuits. While heterogeneous integration has emerged as the leading approach for combining
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. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of
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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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-resolution imaging to altimetry. In TU Delft, we are openning a 2-year postdoctoral researcher position to advance this promising field. The position is part of NL-RIA 2.0, the Dutch network on small
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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circuits contribute to pathological aggression. The postdoc will use functional ultrasound imaging, behavioural assays, physiological recordings, computational modelling, and pathway-selective chemogenetic
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information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational