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Are you passionate about advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging
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learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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Your position will be in the Toxicology division of the Institute for Risk Assessment Sciences (IRAS), where you will be working on your PhD research in a team of motivated scientists and fellow PhD
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) Developing deep learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level
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such changes contribute to long-term treatment success. A collaborating postdoc will perform advanced MRI brain imaging in a subset of participants to investigate changes in the olfactory bulb and connected
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characterising 3D primary spheroid models for MCL, DLBCL, and Richter syndrome using patient samples from in-house biobanks. Implementing and fine-tuning state-of-the-art AI image segmentation models for automated
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for 300,000 patients each year. The Division of Research and Lab Services of Sanquin is home to 250 researchers, including over 60 PhD students and 30 postdocs. Research at Sanquin is organized in four
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participants, advanced MRI brain imaging will be done to investigate changes in the olfactory bulb and connected brain regions, which will be executed by a collaborating postdoc. You will be responsible
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bank and research activities. With 2,000 committed colleagues and 345,000 blood donors, we aim to provide a better life for 300,000 patients each year. The Division of Research and Lab Services