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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
clinical data. A major focus of the position will be identifying genomic and immunologic features associated with variation in immune responses and clinically relevant phenotypes. A Ph.D. or equivalent
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
. Description: Under the guidance of a mentor, the participant will engage in a NASA-aligned research project advancing data-driven approaches to characterize wildfire risk and post-fire vegetation recovery
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
for large-scale ice-sheet models such as ISSM, and provide a pathway toward increasingly integrated model–observation frameworks, including data assimilation. References: E Rignot, S Jacobs, J Mouginot, B
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
include advancing foliar trait retrieval algorithms, atmospheric correction over dense humid tropical canopies, machine learning and dimensionality reduction for handling big data, landscape evolution
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Python, R or a similar scientific programming language, with a focus on reproducibility and open-source best practices Demonstrated experience in geospatial data analysis and the management of large
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
field. Strong proficiency and independence with large data analysis platforms (such as neuroimaging or microbiome platforms), multivariate modeling strategies and network connectivity analyses
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
is based on optically detected magnetic resonance (ODMR) or electrically detected magnetic resonance (EDMR), utilizing the spin properties of quantum centers/defects in large band gap materials like
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and apply mathematical and statistical models for analyzing genetic data. • Design and implement computational tools and software to support statistical genetics research. • Lead and contribute
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
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
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; ● Experience compiling, processing, and analyzing large spatial fisheries datasets and/or fishing fleet behavior (via e.g., AIS data) in management contexts; ● Demonstrated understanding of how insights from