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, synthesize, and test MIPs, integrate them into a point-of-care (POC) device, and validate their performance on real-world AMR samples. The ultimate goal: a functional prototype that supports faster, more
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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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As a PhD candidate, you will perform murine experiments combining advanced imaging and behavioral testing at our Preclinical Imaging Center (PRIME). Postmortem analyses, including