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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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Research Assistants to assist in an ongoing effort to establish a baseline spatial understanding of cellular reception quality of four providers across the U.S. Virgin Islands. The findings of this research
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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 19 hours ago
Research Assistants to assist in an ongoing effort to establish a baseline spatial understanding of cellular reception quality of four providers across the U.S. Virgin Islands. The findings of this research
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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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. 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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for spatial design, mission analysis and other related tools (GMAT/STK/360TM, CATIA...) is an asset. Specific Requirements Titulación Académica: Ingeniería Aeroespacial (Titulación Universitaria
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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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://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