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Field
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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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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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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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Spatiales"CountryFranceCityPARIS 05 Contact City PARIS 05 Website http://www.latmos.ipsl.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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an independent research profile and contribute to shaping the future direction of the group. We work at the interface of biodiversity science, trait-based ecology, landscape ecology, and quantitative spatial
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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science, computation, and clinical research. We are seeking a postdoctoral researcher to join the ERC Starting Grant project SINGuLAR (https://cordis.europa.eu/project/id/101219388 ) at the Balzer Lab
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) and spatial transcriptomics on CRC patient samples, we have identified novel epithelial cell states and distinct cancer-associated fibroblast (CAF) subpopulations. The postdoctoral fellow will work
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Associate I, Immunobiology Posting Number req26998 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
extrapolate LiDAR-constrained structural data across broader spatial and temporal scales. The participant will collaborate with researchers to evaluate encoder adaptations that incorporate both synthetic