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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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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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. 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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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
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related field. You bring a strong analytical background and experience with optimization models and quantitative analysis methods. Familiarity with urban energy systems, energy infrastructures, or spatial
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://www.uidaho.edu/science/academics/earth-spatial-sciences Position Qualifications Required Experience · Experience developing and applying advanced statistical analysis and modeling to address ecological
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About the job: This Postdoctoral Research Fellow position will lead the spatial modelling and habitat association components of the MOSAIC (Multi-disciplinary Ocean Sensing for Adaptive
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of visual texts and will focus on the semiotic analysis of the design dimension,whether artistic,design-related,or architectural,with particular reference to the role of corporeality and spatiality and the