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in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data-driven approach to microstructure imaging” (ADAMI), funded by
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project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy human brains and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy mice and mice models
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-driven approach to microstructure imaging” (ADAMI), funded by the European Union. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing
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. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue
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(https://bioimagingcore-leuven.sites.vib.be/en). The core offers access, support, consultancy, and training in light- and electron microscope and image processing and analysis. A team of motivated
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minded Experience in confocal microscopy applications is required Experience in image processing and analysis is required Team player with strong social, communication and didactic skills Well-organized
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-216 Marie Curie Grant Agreement Number 101117274 Is the Job related to staff position within a Research Infrastructure? No Offer Description The growing demand for X-ray imaging requires sensitive X-ray
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to being predictive to disease onset or from cure to prevention. Next-generation sequencing technologies have leveraged novel concepts to diagnose, treat and monitor diseases. Analysis of free-floating cfDNA