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pipelines Develop computational methods for the behavioral and psychological characterization of AI systems, including standardized assessments and behavioral experiments Leverage multimodal AI technologies
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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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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 14 hours ago
success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Postdoctoral Research Fellowship Program (Postdoc) is a high-intensity
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innovative deposition processes and high-throughput materials screening. The opportunity Contribute to groundbreaking research on accelerated thin-film and process development for emerging applications such as
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 17 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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, particularly Raman spectroscopy; experience in research on materials intended for operation at elevated or high temperatures; experience in presenting research results at international scientific conferences
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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in a fast-paced environment. This person must be professional, enjoy working in a high-volume environment and be able to apply strong organizational skills while being flexible in their daily routine
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leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and machine
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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