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large animal models, lymphatic research, and MRI. The scholar will be supported by MR technologists (MRI studies), plastic surgeons (lymphatic surgery), radiologists (MRI studies and imaging evaluation
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and treat unmet medical problems in the areas of brain and eye diseases, and
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interactions. Application of mineral amendment as an environmentally and economically sustainable method for soil organic matter increase will be explored. Cutting-edge in situ imaging techniques will be used
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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) Extrapolation of photospheric magnetic fields to the corona using various approaches. 2) Quantitative analysis of HXR (imaging spectroscopy from STIX and HXI) and EUV (fluxes and DEMs) sources. 3) Analysis and
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candidates must possess a PhD or equivalent degree in biochemistry, molecular biology, neuroscience, or a related field and be able to work independently with high self-motivation. Experience in imaging and
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of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but
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, Immunoblotting, proteomics and metabolomics, and Immunocytofluorescence, 3D-imaging (micro-CT and light sheet), primary cell isolation and culture, cell energy metabolism with seahorse analysis, flowcytometry
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging