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of Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data
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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. 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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-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
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organoid model systems and corresponding assays as powerful tools for understanding health and disease. As one of the investigators on this project, you will develop 2D and 3D image analysis pipelines
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(VUB ) have an open research position for a talented and motivated researcher. Motivation Conventional cameras capture two-dimensional images, even though our world is three-dimensional (3D). This lack
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environment. You have a FELASA B/C attest or are willing to obtain one. Experience with (animal) MRI or other in vivo imaging modalities, computer programming skills (e.g. in C/C++ and MATLAB) and prior MRI