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Field
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longitudinal single-cell and spatial atlas of human kidney adaptation, combining single-cell RNA-seq, spatial transcriptomics, and single-cell ATAC-seq with deeply phenotyped clinical cohorts You will help
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Position Overview School / Campus / College: School of Medicine Organization: Medicine, Allergy & Infectious Diseases Title: Postdoctoral Scholar (Mycobacteria pathogenesis and spatial biology
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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies,...
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vivo cancer models, pharmacologic inhibitors, immune profiling, and spatial omics to investigate how the metastatic microenvironment regulates tumor progression and immune suppression. Organized, honest
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companies and actors from the healthcare sector. A number of important infrastructures are available, including specialized laboratories for antibody development, flow cytometry, spatial omics, and mass
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NIH awards is available in the The Peng Lab (Department of Ophthalmology, UCLA). Our laboratory combines single-cell multiomics (scRNA-seq, scATAC-seq, spatial transcriptomics), cell-surface proteomics
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companies and actors from the healthcare sector. A number of important infrastructures are available, including specialized laboratories for antibody development, flow cytometry, spatial omics, and mass
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faculty, postdoctoral researchers, and graduate students with computational pathology, biomedical imaging, and spatial omics research activities. Responsibilities include supporting computational image
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the ecosystem service identification, valuation, and spatial mapping components of an interdisciplinary project funded through the Minnesota Aquatic Invasive Species Research Center (MAISRC). Operating
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
forest mapping toward temporally resolved reconstruction and prediction of forest-state transitions. The project will leverage Prithvi-EO to extract spectral, spatial, and temporal information from Landsat