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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
engaged in SMAP algorithm heritage and NISAR-era high-resolution soil moisture development at JPL, and participate in multi-mission integration research spanning SMAP, NISAR, and ROSE-L. This opportunity
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
Scaling: Developing data-fusion algorithms that combine VSWIR spectroscopy with active radar/lidar, thermal, and atmospheric retrievals to scale plot- and tower-based flux measurements to pan-tropical
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
, studying atmospheric responses to episodic events, comparing ground-based observations with satellite datasets and atmospheric models, and developing new retrieval algorithms. Field of Science: Earth Science
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approaches to investigate human immune responses, host genetics, infectious disease, and vaccine immunity. The position will work closely with experimental immunologists, clinicians, and computational
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position to work with Dr. Alexander Young on the development of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative
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at research conferences and seminars. Develop statistical and bioinformatic skills through analysis of experimental data and population genetic and genomic data from plant pathogens and beneficial microbes
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interested in exploring the nutrition-microbiome-immune cell crosstalk through the lens of macrophages and their interaction with tissues in genetically diverse mice and human patients utilizing cutting edge
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, time-management, and collaboration skills are required. Preferred qualifications • Molecular & Synthetic Biology: Extensive experience in molecular cloning, genetic circuit design, CRISPR/Cas systems
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clinical translation • Develop and validate disease progression models and other data-driven analyses in large-scale multimodal datasets (imaging, phenotypical data, genetics data) • Author scientific