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; 4 years of relevant experience in computational image analysis and spatial statistics required with High School diploma or GED, 2 years of relevant experience in computational image analysis and
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plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science/Synthesis component of the project
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time for Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more
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projects addressing the molecular understanding of breast cancer through the analysis of single-cell genomics, spatial genomics, transcriptomics and imaging datasets. Following directions from
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analytical or computational methods (e.g., remote sensing, spatial analysis, systems or integrated assessment modelling) applied to sustainability. Candidates from other methodological areas with clear
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involve analysis of complex biological and medical data including multi-omics, ex vivo drug screens, patient treatment histories, and spatial profiling of cancer patient tissues. Develop novel computational
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optimizelibrary preparation for scRNA-seq, snRNA-seq, spatial transcriptomics, and related workflows, while contributing to the bioinformatic analysis, integration, and interpretation of multi-omic datasets. You
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the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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) and spatial transcriptomics on CRC patient samples, we have identified novel epithelial cell states and distinct cancer-associated fibroblast (CAF) subpopulations. The postdoctoral fellow will work
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, fieldwork, data processing, reporting and project administration. The successful candidate will be proficient in applying integrated spatial analysis techniques to coastal and marine environmental data