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Pecero Sanchez: and Nada Drais: . Your profile PhD in Computer Science, High-Performance Computing, Computational Science, or a closely related technical discipline, with experience or strong interest
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at the UMIC in resolving methodological and technical issues. Developing and implementing suitable procedures for scientific data management on the High-Performance Computational Cluster. Participating in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 7 days ago
. Description: The primary focus of this opportunity is to perform computational and experimental research in the Structures and Materials Division at NASA Langley Research Center to advance microstructure
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
of reproducible bioinformatics pipelines using workflow-management and containerization tools, or high-performance or cloud computing for large genomic datasets. Experience with single-cell RNA-seq analysis using
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interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing, reproducible workflow development, scientific manuscript preparation, or collaborative
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
. Description: The Next Generation X-ray Optics (NGXO) team at NASA Goddard Space Flight Center develops advanced X-ray mirror technology using segmented monocrystalline silicon to enable future high-performance
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(NCCS), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) to perform leading-edge computational materials research and development. The scientific focus
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following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
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Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial Intelligence and Computer Vision Laboratory Website: https://uark-aicv.github.io