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position within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? Spatially resolved genomics unlocks unprecedented insight into tissue architecture
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demonstrations of novel methods for temporal and spatial field manipulation and characterization, approaching quantum noise levels. The methods and associated components will have applications in the measurement
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions. We seek a curious, highly motivated, and creative
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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of an ongoing initiative to build a research environment on the theme of ‘church in public spaces’. The public space referred to includes both a metaphorical spatiality and concrete, site-specific
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced