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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
mechanisms governing transcriptional regulation and their dysregulation in cancer. Our long-term goal is to understand how the spatial organization of transcriptional regulators influences gene expression
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-edge technologies, including genetically engineered mouse models, patient-derived models, single-cell and spatial genomics, organoid systems, and preclinical therapeutic studies. Learn more about our
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or removals from inland waters or vegetated wetland systems. The proposed work can address any range of spatial and temporal scales, from microbial to global, but must cover questions related to reducing
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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technologies. Key areas of research include the spatial and temporal diffusion of protest, the impact of censorship on political attitudes, public perceptions of human rights and security, and the strategic use
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, spatial statistics, machine learning approaches, large ecological datasets Previous experience with passive acoustic monitoring and/or eBird data Familiarity with ecology and/or ornithology Demonstrated
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, or computational analysis of clinically annotated cancer datasets. Experience with multi-omics data integration, including DNA sequencing, bulk and single-cell RNA sequencing, spatial transcriptomics, methylation
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fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy imaging, flow cytometry, and standard biochemical/molecular approaches. Our
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disciplines. What we do The Sun Lab brings together single-cell and spatial genomics, circuit neuroscience, metabolic biology, and computational approaches to understand how neural systems sense, remodel, and
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, socioeconomic, and geospatial data; Contribute to patient-level and population-level modelling approaches, including temporal, spatial, and multimodal prediction frameworks; Apply and evaluate methods for disease