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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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tissue function and repair. Our research seeks to uncover the cellular mechanisms that enable tissues to thrive, particularly under physiological and environmental challenge (see group website https
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with sufficient spatial and temporal resolution. Novel Methodologies and Experimental Approach Supervised by Prof. Nadav Amdursky at the University of Sheffield, this project leverages two pioneering
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and educate students to do research relevant for the analysis and modeling of complex real-world problems arising in modern Statistical Data Science. KAUST (https://www.kaust.edu.sa ) is an
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morphology, cell viability, epithelial organization, barrier-related readouts, and model reproducibility across experimental batches. 30% — Tissue processing, histology, imaging, and spatial-omics preparation
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Expertise in one or more of spatial/landscape/community ecology, trait-based/functional ecology, macroecology, or ecological modelling Strong conceptual thinking in ecology Experience with predictive
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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms
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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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observables in both systems. Anderson, P.W. 1972. More is di1erent. Science 177:393-396. Eberl, G. 2026. An elementary model of homeostasis and immunity that generates symbiosis. bioRxiv https://doi.org