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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 5 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0144-NPP-NOV25-ARC-Interdisc How to Apply All applications must be submitted in Zintellect Please visit the NASA
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interpretation of results Contribute to writing scientific articles, conference presentations and grant applications Take part in open science and code sharing Skills, expertise and qualifications A doctoral
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always log back in to your Zintellect account and check the status of your application. If you have questions, send an email to AIRFORCE@orise.orau.gov. Please list the reference code of this opportunity
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-coding RNA (lncRNA) genes in plant genomes. The Knut and Alice Wallenberg Foundation (KAW) funds this two-year postdoctoral scholarship. The scholarship amounts to 348 000 SEK per year and is not subject
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Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-CEFP-2026 How to Apply Click on Apply below to start your application. Connect with ORISE...on the GO! Download the new ORISE GO
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) experience with neural network training and language model fine-tuning; (2) background in natural language processing, linguistics, and/or human reasoning; (3) strong coding skills; and (4) strong
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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Short Research Description: The solar astrophysics group is seeking a postdoctoral researcher to
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
Experience in HPC computation (application and algorithm/code development) Willingness to closely collaborate with experimentalists and theoretician. Joint research approach of all ERC synergy team members
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National