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Field
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packages for data processing and simulation. Analyze high-throughput photon event data to extract spatial and temporal correlations. Collaborate with experimental staff on algorithm validation and feedback
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to: fuse CHIME hyperspectral data with Sentinel-2’s (or other satellites’) multispectral imagery to enhance spatial and temporal resolution for precision agriculture, land degradation monitoring or water
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
responsibilities for this role include: Initiating, planning, and overseeing research projects Leading the analysis of complex multiomics data, including single-cell and spatial omics, using R or Python; experience
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of survey equipment (e.g., GPS, field computers, drones). Manage and process geomagnetic data; contribute to refining data analysis workflows. Integrate geophysical results with spatial datasets (e.g., DEMs
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or uncertainty propagation through the pipeline process; investigate which EO data can be most suitable for different climate adaptation/mitigation situations (e.g. required spatial and temporal resolutions
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America. Preferred qualifications: Experience in spatial epidemiology and mechanistic/statistical modeling of vector-borne diseases. Familiarity with advanced statistical modeling, mathematical modeling
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 26 days ago
for careers in both academia and industry. Granular materials exhibit complex and distinctive behaviours arising from the disordered spatial arrangement of microscopic solid particles (grains). These materials
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main tasks will consist of: Independent research of high international quality, including publication. Analyzing sequencing data (e.g., scRNA-seq, snRNA-seq and spatial transcriptomics) from various
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Kim (DANDRITE) This project explores how mutations in chromatin-modifying genes disrupt early neurodevelopment by systematically profiling in vitro neurons using multimodal single-cell and spatial
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model