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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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you want to unravel the crystallization of phase change materials in heat storage devices? Do you like to work with advanced imaging techniques like CT and MRI? Do you want to understand the relation
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Vacancies PhD position on the pilot scale production of hollow fiber membranes and prototype dialyzers for improved dialysis therapy. Key takeaways Most patients with kidney failure receive dialysis
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Quantitative MRI is a PICNIK with Physics-Informed data Consistent Neural Implicit K-space representations. In this project, you will substantially improve quantitative magnetic resonance imaging
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may contain unique information about organ quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in
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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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metabolism and performance. Working across in vivo, ex vivo, and in vitro systems, you will integrate advanced cardiac imaging, metabolic flux analysis, and biochemical profiling to connect molecular damage
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imaging, X-ray tomography/radiography).
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, drying, and curing affect adhesion, mechanics, and wear resistance. Characterize inks using advanced experimental techniques like synchrotron imaging (e.g. at the ESRF in Grenoble), DMA, nanoindentation
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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