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biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental tissue characterisation methods, imaging and computational simulation techniques are applied
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Fyrdahl, David Marlevi, and Andreas Sigfridsson on sequence development, image reconstruction, and data analysis for next-generation magnetic resonance imaging (MRI). Based in a clinically integrated, well
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, this combines expertise in electroactive polymers, chemistry, microfluidics, neurobiology, microbiology, physiology, pathology and intravital imaging. Other areas of research include renewable
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be expected to advance our recently established DESI-MRM mass spectrometry imaging method (see PMID:39460704). Applicants will also be involved in development of our multi-modal imaging workflow
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candidate will be expected to advance our recently established DESI-MRM mass spectrometry imaging method (see PMID:39460704). Applicants will also be involved in development of our multi-modal imaging
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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established microscopy techniques: so-called smart microscopy, and an image analysis method for extracting high-resolution information from microscopy images. The work will include cell culture, organoid
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pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
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skin diseases. Applying advanced immunological and molecular techniques, such as multiparameter flow cytometry, cell sorting, in vitro differentiation assays, spatial transcriptomics, and in vivo imaging
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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