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application of cutting-edge spatial and single-cell omics technologies. The research engineer will perform experiments leveraging Spatial Transcriptomics (ST), Spatial metaTranscriptomics (SmT), and single-cell
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop methods in three-dimensional spatial
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at the spatial level in the colon (ERC Synergy) and the impact of spaceflight on the brain gene Swedish Research Council and Swedish National Space Agency). The postdoctoral research activities will focus
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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ISS technology to researchers across Sweden. In situ sequencing (ISS) enables highly multiplexed RNA profiling directly within cells and whole tissue sections, preserving spatial information
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private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow cytometry, and
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independently. Other merits Experience in one or more of the following: integrative analyses of multi-omics data, single-cell and spatial expression analyses, epigenomics analyses, as well as the ability
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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on projects related to image data, spatial biology, and genomics. As a developer, you will participate in Agile development teams and contribute with expertise on software engineering, system design