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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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project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG). Perform anatomical dissections on human
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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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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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general and the following skills in particular: materials and microstructure characterization, microscopy and metallurgy, (micro-)mechanical testing, in-situ testing and digital image correlation, numerical
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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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stem cells or stem cell-based biomaterials? And eager to explore cutting-edge technologies like genome editing and in vivo imaging? Or are you perhaps fascinated by eye research and do you have an
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cells or stem cell-based biomaterials? And eager to explore cutting-edge technologies like genome editing and in vivo imaging? Or are you perhaps fascinated by eye research and do you have an affinity
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to get the best possible picture of your knowledge, insight, skills, and personality. Below you can find the qualifications we consider important for the position. As a successful candidate: You have an
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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