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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Magnonics is an emerging subfield of spintronics
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 hour ago
motivated Postdoctoral Researcher (f/m/x) to join our interdisciplinary and international research team as part of a project funded through the DZD NEXT Young Talent Program of the German Center for Diabetes
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 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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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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(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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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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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
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analysis (TEA). The successful candidate will: Develop innovative strategies for transforming industrial byproducts into high-performance porous adsorbent materials. Design and optimize structuring and