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cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal-fetal interface, with the goal
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise
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research and applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new
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ovarian cancer. The laboratory has about 18 members that study ovarian cancer biology. We use a variety of cutting-edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures
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high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate stem cell biology using multi-omics approaches, including RNA
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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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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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ecology. Familiarity with New Mexico Flora. Experience using ArcGIS Pro software and other spatial analysis software. Vegetation community mapping and classification. Experience in field ecological data
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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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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