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and immune trafficking models. High-Resolution Imaging: Proficiency in spatially-resolved multiplexed imaging and confocal whole-mount tissue analysis. scRNA-seq: Experience designing 10x Genomics
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ssantagata@bwh.harvard.edu Salary Range Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum
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Earth Observation data analysis and/or spatial modeling Proven ability to publish in high impact peer-reviewed international journals Experience with machine/deep learning / AI applied to environmental
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples
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Research Associate I - Department of Surgery Posting Number req25736 Department Surgery Department Website Link https://surgery.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
: Advanced degree (PhD) in statistics or bioinformatics relevant field. Experience with analysis in R. Essential Skills: Degree in statistics or bioinformatics relevant field. Three or more years of analysis
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multimodal expansion (“ImmunoPixel‑seq”). Work includes NGS data processing, spatial barcode mapping, single‑cell & spatial analysis, and cell segmentation in brain, tumor, and other tissues. Purpose
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3 Apr 2026 Job Information Organisation/Company Nantes Université Department LPG UMR-CNRS 6112 Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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exclusively on the spatial analysis of images, making them sensitive to optical aberrations, difficult to implement in depth, and inherently limited in the type of information they can extract. Our group