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into differentiation protocols, reagents, and media Tissue and organoid imaging & molecular analysis Developed new protocols and/or analysis methods Organizational capabilities Provides a structured approach for
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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main tasks and responsibilities: Leverage advanced methodologies to integrate imaging, single cell RNA-seq and deep immunoglobulin repertoire sequencing to dissect molecular mechanisms regulating B cell
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talents and passion as we work together to drive forward scientific progress. The Institute of Machine Learning in Biomedical Imaging (IML) focuses on pioneering research to harness the power of machine
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resistance, leveraging cutting-edge computational biology, state-of the art imaging technologies, mouse and patient-derived models. Basic education, experience and skills required for consideration: PhD in
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in collaborative research environments. Interest in mentoring students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an
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high spatial and temporal resolution as well as measurements of protein and lipid interactions is facilitated by the research infrastructure “The Biochemical Imaging Centre at Umeå University” (http
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immunofluorescence-based imaging techniques: light sheet microscopy, clearing and whole mount imaging, multicolour immunofluorescence microscopy, IBEX, expansion microscopy, or similar. Previous experience in
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Your group The Prevedel group in Heidelberg is seeking a postdoc with an applied physics and/or engineering background to work on advanced imaging techniques for applications in biology and
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systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches