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, the Department supports interdisciplinary programs in Urban Studies, International Studies, and Global Health Studies. It is dedicated to tackling urgent global socioenvironmental issues through spatial analysis
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image analysis to extract cellular morphology and spatial features.Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology.Develop and apply machine
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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datasets and high-dimensional tissue imaging or spatial profiling data (e.g., multiplex immunofluorescence, spatial transcriptomics, spatial proteomics). Familiarity with analysis tools commonly used in
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Recruitment Objective Lead and support the CAMPS project for advanced spatial data production and analysis, with a focus on satellite imagery remote sensing, machine learning-based urban and architectural
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is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
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. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience
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Omics platform. The platform provides IRB researchers with cutting-edge technologies that integrate histological techniques, spatial profiling, and advanced molecular analysis to map gene and protein