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Field
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longitudinal modeling, machine learning methods, subgroup analysis, or other advanced modeling techniques is highly desirable. Software Proficiency: Experience with neuroimaging tools such as AFNI, SPM, FSL
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Spectroscopy (dwSCOS) sensor for non-invasive microvascular monitoring. 2. Perform Monte Carlo simulations for optical modeling of photon propagation in layered tissues. 3. Fabricate and characterize dynamic
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Learning for Subsurface Energy Systems Across Scales.” Project Description: The project aims to build computational models that enhance our understanding of physical, geomechanical, and geochemical processes
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characteristics of obligate intracellular bacteria, including Ehrlichia and Neorickettsia spp. We use a mouse model to study the disease pathogenesis in the mammalian hosts. We also work with blood samples
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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learning and structural modeling approaches. This position offers an exciting opportunity to work on the mechanistic study of GPCR-mediated signaling, the rational design of next-generation biologics
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 days ago
observations and model-based data. Apply machine learning techniques to optimize factor weightings and reveal critical wildfire drivers. Validate models using multi-source wildfire data (MODIS, VIIRS, and NOAA
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of obligate intracellular bacteria, including Ehrlichia and Neorickettsia spp. We use a mouse model to study the disease pathogenesis in the mammalian hosts. We also work with blood samples collected from
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general circulation model, analyzing ground-based and satellite measurements, and conducting data-model comparisons. In accordance with USCIS regulations, successful applicants must be legally able
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric