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Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across both science and
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. To this end, the lab has developed a technique for imaging spin waves – microscopic waves in magnetic materials - based on magnetic sensing with nitrogen-vacancy (NV) spins in diamond. Spin waves could enable
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adaptive image and schema descriptions for digitized books and collections of the National Library of the Netherlands (KB) for blind and visually impaired readers. Background Around 25% of the Dutch
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geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation
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imaging approaches such as SEM, and Fluorescence Microscopy (Laser Scanning Confocal Microscopy) is required. It is desired to have cell biological expertise both theoretical and practical with preferably
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multi-agent systems, (medical) signal and image processing, FAIR principles, game theory, intelligent search techniques and affective computing are internationally recognized. What makes our research so
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system module and investigate linkages with the more detailed IMAGE model. The project is embedded in the broader EMBRACER programme, which aims to advance our understanding of climate feedbacks. You will
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. PhD Candidate Neuroimaging in Epilepsy Our goal: to leverage advanced Magnetic Resonance Imaging (MRI) techniques (including functional MRI to assess brain network metrics and MR spectroscopy to measure
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC