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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 13 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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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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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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, 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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 16 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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Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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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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develop and optimize scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data