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and scientific computing. High-performance computing, parallel computing, or large-scale simulation. Software engineering practices, version control, and automated testing. EMT simulation, power system
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 24 days ago
collection at sea, laboratory analysis, and data processing. Experience with high-performance liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS), and/or LC-MS Point of Contact Mikeala
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safety, vulnerable road users, and rural and Tribal transportation contexts. The postdoctoral researcher will integrate research involving human participants, behavioral analysis, and computational methods
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of molecular, spatial, histopathological, and clinical data. Computational and statistical analyses will be performed primarily using R. The research is carried out in a multidisciplinary environment and in
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Facility is seeking a scientifically oriented and technically capable postdoctoral researcher to contribute to the operation and further development of its High Harmonic Generation (HHG) Beamline
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Posting Summary Logo Posting Number RTF00210PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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-performance computing (HPC) systems with dedicated research software engineers and access to NVIDIA systems engineers) that can be leveraged depending on their role. Postdoctoral Fellows will become key
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18 Sep 2026 Job Information Organisation/Company University of Jyväskylä Research Field Physics » Computational physics Physics » Condensed matter properties Physics » Quantum mechanics Physics
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Deadline 29 Sep 2026 - 15:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic