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Carrasquillo Lab, National Center for Complementary and Integrative Health, National Institutes of Health | Bethesda, Maryland | United States | about 1 month ago
Postdoctoral Positions in Single-Cell and Spatial Transcriptomics Pain Neurocircuitry and Cellular Plasticity Laboratory PI: Dr. Yarimar Carrasquillo National Center for Complementary and
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Classification Title: Post-Doctoral Associate in Spatial biology Classification Minimum Requirements: Ph.D. in Chemistry, Biology or a closely related field. Job Description: A Post-doctoral
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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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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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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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. These models will leverage data collected from multiple sources, including unmanned aerial systems (UAS), satellite imagery, ground-based sensors, and other spatial and temporal datasets. The candidate will also
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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 20 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
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning