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Field
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . This position is based in Johan Elf’s research group
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processing and to evolve in a stimulating work environment dedicated to neuroimaging with doctors, scientists and companies in the medical imaging sector. You will be integrated into the iMRT team (innovative
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: The project aims to develop a novel mechano-Raman imaging platform to map mechanical deformation in polymeric materials with high sensitivity. By combining the design of vibrational force probes with advanced
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, cryosectioning, immunocytochemistry/immunohistochemistry, advanced staining (antibodies, RNAscope, proximity ligation assays) and high-resolution imaging approaches and quantifications from both mouse and human
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through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name -- RICE -- Responsibility, Integrity, Community and Excellence. About George
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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging